{"Package":"spatstat.utils","Version":"3.1-2","Date":"2025-01-03","Title":"Utility Functions for 'spatstat'","Authors@R":"c(person(\"Adrian\", \"Baddeley\", \nrole = c(\"aut\", \"cre\"),\nemail = \"Adrian.Baddeley@curtin.edu.au\",\ncomment = c(ORCID=\"0000-0001-9499-8382\")),\nperson(\"Rolf\", \"Turner\",\nrole = \"aut\",\nemail=\"rolfturner@posteo.net\",\ncomment=c(ORCID=\"0000-0001-5521-5218\")),\nperson(\"Ege\",   \"Rubak\",\nrole = \"aut\",\nemail = \"rubak@math.aau.dk\",\ncomment=c(ORCID=\"0000-0002-6675-533X\")))","Maintainer":"Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>","Description":"Contains utility functions for the 'spatstat' family of\npackages which may also be useful for other purposes.","License":"GPL (>= 2)","URL":"http://spatstat.org/","NeedsCompilation":"yes","ByteCompile":"true","BugReports":"https://github.com/spatstat/spatstat.utils/issues","Repository":"https://spatstat.r-universe.dev","RemoteUrl":"https://github.com/spatstat/spatstat.utils","RemoteRef":"HEAD","RemoteSha":"cca480ba7cb3accdb5ce7fde991b70fbc332747d","Packaged":{"Date":"2025-01-03 02:54:20 UTC","User":"root"},"Author":"Adrian Baddeley [aut, cre] (<https://orcid.org/0000-0001-9499-8382>),\nRolf Turner [aut] (<https://orcid.org/0000-0001-5521-5218>),\nEge Rubak [aut] (<https://orcid.org/0000-0002-6675-533X>)","MD5sum":"aae001542a9243810a87c0d449b08b49","_user":"spatstat","_type":"src","_file":"spatstat.utils_3.1-2.tar.gz","_fileid":"9ebd228a040b44cb1599ffc5462943b6e242884b408412184f5f4fb15a0efaa0","_filesize":380593,"_sha256":"9ebd228a040b44cb1599ffc5462943b6e242884b408412184f5f4fb15a0efaa0","_created":"2025-01-03T02:54:20.000Z","_published":"2025-01-03T02:57:31.989Z","_upstream":"https://github.com/spatstat/spatstat.utils","_commit":{"id":"cca480ba7cb3accdb5ce7fde991b70fbc332747d","author":"Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>","committer":"Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>","message":"More tests; ready for CRAN\n","time":1735869322},"_maintainer":{"name":"Adrian Baddeley","email":"adrian.baddeley@curtin.edu.au","login":"baddstats","uuid":7161794,"orcid":"0000-0001-9499-8382"},"_distro":"noble","_host":"GitHub-Actions","_status":"success","_pkgdocs":"skipped","_winbinary":"success","_macbinary":"success","_wasmbinary":"success","_linuxdevel":"success","_windevel":"success","_buildurl":"https://github.com/r-universe/spatstat/actions/runs/12591982063","_registered":true,"_dependencies":[{"package":"R","version":">= 3.5.0","role":"Depends"},{"package":"stats","role":"Depends"},{"package":"graphics","role":"Depends"},{"package":"grDevices","role":"Depends"},{"package":"utils","role":"Depends"},{"package":"methods","role":"Depends"},{"package":"spatstat.model","role":"Suggests"}],"_owner":"spatstat","_selfowned":true,"_usedby":235,"_updates":[{"week":"2024-19","n":1},{"week":"2024-23","n":1},{"week":"2024-24","n":3},{"week":"2024-25","n":3},{"week":"2024-29","n":1},{"week":"2024-30","n":1},{"week":"2024-31","n":1},{"week":"2024-33","n":1},{"week":"2024-44","n":2},{"week":"2024-49","n":1},{"week":"2025-01","n":1}],"_tags":[],"_topics":["spatial-analysis","spatial-data","spatstat"],"_stars":5,"_contributions":{"baddstats":156,"rubak":17,"richierocks":1},"_userbio":{"uuid":8414375,"type":"organization","name":"The Spatstat Team"},"_downloads":{"count":47097,"source":"https://cranlogs.r-pkg.org/downloads/total/last-month/spatstat.utils"},"_mentions":172,"_devurl":"https://github.com/spatstat/spatstat.utils","_searchresults":130,"_assets":["extra/citation.cff","extra/citation.html","extra/citation.json","extra/citation.txt","extra/contents.json","extra/NEWS.html","extra/NEWS.txt","extra/readme.html","extra/readme.md","extra/spatstat.utils.html","manual.pdf"],"_homeurl":"https://github.com/spatstat/spatstat.utils","_realowner":"spatstat","_cranurl":true,"_releases":[{"version":"1.2-8","date":"2017-02-16"},{"version":"1.3-2","date":"2017-02-22"},{"version":"1.4-1","date":"2017-03-21"},{"version":"1.6-0","date":"2017-05-06"},{"version":"1.7-0","date":"2017-08-09"},{"version":"1.7-1","date":"2017-09-23"},{"version":"1.8-0","date":"2017-11-20"},{"version":"1.8-2","date":"2018-06-14"},{"version":"1.9-0","date":"2018-07-28"},{"version":"1.10-0","date":"2018-10-01"},{"version":"1.12-0","date":"2018-10-29"},{"version":"1.13-0","date":"2018-10-31"},{"version":"1.15-0","date":"2019-12-02"},{"version":"1.17-0","date":"2020-02-07"},{"version":"1.20-2","date":"2021-01-07"},{"version":"2.0-0","date":"2021-01-24"},{"version":"2.1-0","date":"2021-03-15"},{"version":"2.2-0","date":"2021-06-14"},{"version":"2.3-0","date":"2021-12-12"},{"version":"2.3-1","date":"2022-05-06"},{"version":"3.0-1","date":"2022-10-19"},{"version":"3.0-2","date":"2023-03-11"},{"version":"3.0-3","date":"2023-05-09"},{"version":"3.0-4","date":"2023-10-24"},{"version":"3.0-5","date":"2024-06-17"},{"version":"3.1-0","date":"2024-08-17"},{"version":"3.1-1","date":"2024-11-03"}],"_exports":["%orifnull%","adjustthinrange","apply23sum","Area.xypolygon","articlebeforenumber","as2vector","asNumericMatrix","assignDFcolumn","badprobability","bdrylength.xypolygon","blockdiagarray","blockdiagmatrix","can.be.formula","cat.factor","check.1.integer","check.1.real","check.1.string","check.anyvector","check.finite","check.in.range","check.named.list","check.named.thing","check.named.vector","check.nmatrix","check.nvector","check.range","check.satisfies","choptext","choptextline","commasep","complaining","distpl","distppl","distppll","distppllmin","divisors","do.call.matched","do.call.without","dont.complain.about","dotexpr.to.call","dropifsingle","dround","ensure2vector","ensure3Darray","equispaced","eratosthenes","evenly.spaced","exactCutBreaks","exceedsMaxArraySize","exhibitStringList","expand.polynom","explain.ifnot","fakecallstring","fastFindInterval","fave.order","fillseq","findfirstfactor","firstfactor","flat.deparse","fontify","forbidNA","fullIndexSequence","geomseq","getdataobjects","getSpatstatLocatorQueue","good.names","graphicsPars","greatest.common.divisor","grokIndexVector","gsubdot","harmonicmean","harmonicsum","identical.formulae","ifelse0NA","ifelse1NA","ifelseAB","ifelseAX","ifelseNegPos","ifelseXB","ifelseXY","indexCartesian","inject.expr","insertinlist","inside.range","inside.triangle","inside.xypolygon","intersect.ranges","is.blank","is.hole.xypolygon","is.parseable","is.prime","isRelevantZero","least.common.multiple","lhs.of.formula","lhs.of.formula<-","logicalIndex","lty2char","make.parseable","makeCutLabels","mapstrings","matchIntegerDataFrames","matchNameOrPosition","matcolall","matcolany","matcolsum","matrixsample","matrowall","matrowany","matrowsum","natozero","niceround","NNdist2segments","numalign","nzpaste","offsetsinformula","optimizeWithTrace","orderstats","orderwhich","ordinal","ordinalsuffix","overlap.trapezium","overlap.xypolygon","padtowidth","paren","passthrough","paste.expr","pasteFormula","pasteN","percentage","positiveIndex","prange","prettydiscrete","prettyinside","primefactors","primesbelow","prolongseq","putSpatstatLocatorQueue","queueSpatstatLocator","ratiotweak","relatively.prime","RelevantEmpty","RelevantNA","RelevantZero","replacementIndex","resolve.1.default","resolve.defaults","revcumsum","reverse.xypolygon","rhs.of.formula","rhs.of.formula<-","samefunction","sensiblevarname","short.deparse","simplenumber","simplify.xypolygon","singlestring","sortunique","spatstatLocator","splat","startinrange","strictIndexSequence","strsplitretain","substringcount","sympoly","taperoff","tapplysum","termsinformula","there.can.be.only.one","there.is.no.try","trap.extra.arguments","truncline","unparen","uptrimat","validposint","variablesinformula","variablesintext","verbalogic","verify.xypolygon","warn.ignored.args","which.max.fair","which.min.fair","xysegMcircle","xysegPcircle","xysegXcircle"],"_help":[{"page":"spatstat.utils-package","title":"The spatstat.utils Package","topics":["spatstat.utils-package","spatstat.utils"]},{"page":"articlebeforenumber","title":"Indefinite Article Preceding A Number","topics":["articlebeforenumber"]},{"page":"cat.factor","title":"Combine Several Factors","topics":["cat.factor"]},{"page":"check.1.integer","title":"Check Argument Type and Length","topics":["check.1.integer","check.1.real","check.1.string"]},{"page":"check.anyvector","title":"Check For Vector or Factor With Correct Length","topics":["check.anyvector"]},{"page":"check.named.vector","title":"Check Whether Object Has Required Components","topics":["check.named.list","check.named.thing","check.named.vector"]},{"page":"check.nmatrix","title":"Check for Numeric Matrix with Correct Dimensions","topics":["check.nmatrix"]},{"page":"check.nvector","title":"Check For Numeric Vector With Correct Length","topics":["check.nvector"]},{"page":"check.range","title":"Utilities for Ranges of Values","topics":["check.in.range","check.range","inside.range","intersect.ranges","prange"]},{"page":"commasep","title":"List of Items Separated By Commas","topics":["commasep"]},{"page":"do.call.matched","title":"Call a Function, Passing Only Recognised Arguments","topics":["do.call.matched"]},{"page":"do.call.without","title":"Call a Function, Omitting Certain Arguments","topics":["do.call.without"]},{"page":"evenly.spaced","title":"Determine Whether a Vector is Evenly Spaced and Increasing","topics":["evenly.spaced"]},{"page":"exactCutBreaks","title":"Determine Breakpoints for Cut","topics":["exactCutBreaks"]},{"page":"expand.polynom","title":"Expand Symbolic Polynomials in a Formula","topics":["expand.polynom","sympoly"]},{"page":"fastFindInterval","title":"Find Intervals Containing Given Data","topics":["fastFindInterval"]},{"page":"geomseq","title":"Geometric Sequence","topics":["geomseq"]},{"page":"harmonicmean","title":"Harmonic Mean","topics":["harmonicmean","harmonicsum"]},{"page":"ifelseAB","title":"Conditional Selection","topics":["ifelse0NA","ifelse1NA","ifelseAB","ifelseAX","ifelseNegPos","ifelseXB","ifelseXY"]},{"page":"methods.xypolygon","title":"Calculations for Polygons in the Plane","topics":["Area.xypolygon","bdrylength.xypolygon","inside.xypolygon","is.hole.xypolygon","methods.xypolygon","overlap.xypolygon","reverse.xypolygon","simplify.xypolygon","verify.xypolygon"]},{"page":"optimizeWithTrace","title":"One Dimensional Optimization with Tracing","topics":["optimizeWithTrace"]},{"page":"orderstats","title":"Compute Order Statistics","topics":["orderstats","orderwhich"]},{"page":"ordinal","title":"Ordinal Numbers","topics":["ordinal","ordinalsuffix"]},{"page":"orifnull","title":"Specify a Default Value","topics":["%orifnull%"]},{"page":"paren","title":"Add or Remove Parentheses","topics":["paren","unparen"]},{"page":"percentage","title":"Convert Fraction to Percentage","topics":["percentage"]},{"page":"primefactors","title":"Primes, Prime Factorization, Common Divisor","topics":["divisors","greatest.common.divisor","is.prime","least.common.multiple","primefactors","primesbelow","relatively.prime"]},{"page":"queueSpatstatLocator","title":"Add Coordinates to a Queue for Use by Locator Function","topics":["queueSpatstatLocator"]},{"page":"RelevantNA","title":"Missing Value, Zero-length Vector, or Zero Value of the Appropriate Type","topics":["isRelevantZero","RelevantEmpty","RelevantNA","RelevantZero"]},{"page":"resolve.defaults","title":"Determine Values of Variables Using Several Default Rules","topics":["resolve.1.default","resolve.defaults"]},{"page":"revcumsum","title":"Reverse Cumulative Sum","topics":["revcumsum"]},{"page":"simplenumber","title":"Simple Rational Number","topics":["simplenumber"]},{"page":"spatstat.utils-deprecated","title":"Deprecated Functions of spatstat.utils Package","topics":["equispaced","spatstat.utils-deprecated"]},{"page":"spatstatLocator","title":"Graphical Input","topics":["spatstatLocator"]},{"page":"splat","title":"Print Text Within Margins","topics":["splat"]},{"page":"taperoff","title":"Taper Functions","topics":["taperoff"]},{"page":"tapplysum","title":"Sum By Factor Level","topics":["tapplysum"]},{"page":"termsinformula","title":"Manipulate Formulae","topics":["can.be.formula","identical.formulae","lhs.of.formula","lhs.of.formula<-","offsetsinformula","rhs.of.formula","rhs.of.formula<-","termsinformula","variablesinformula"]},{"page":"verbalogic","title":"Verbal Logic","topics":["verbalogic"]},{"page":"which.min.fair","title":"Where is the Minimum or Maximum","topics":["which.max.fair","which.min.fair"]}],"_readme":"https://github.com/spatstat/spatstat.utils/raw/HEAD/README.md","_rundeps":[],"_score":11.37548840297147,"_indexed":true,"_nocasepkg":"spatstat.utils","_universes":["spatstat","baddstats"],"_previous":"3.1-1.001","_binaries":[]}
{"Package":"spatstat.geom","Version":"3.3-4.009","Date":"2025-01-02","Title":"Geometrical Functionality of the 'spatstat' Family","Authors@R":"c(person(\"Adrian\", \"Baddeley\", \nrole = c(\"aut\", \"cre\", \"cph\"),\nemail = \"Adrian.Baddeley@curtin.edu.au\",\ncomment = c(ORCID=\"0000-0001-9499-8382\")),\nperson(\"Rolf\", \"Turner\",\nrole = c(\"aut\", \"cph\"),\nemail=\"rolfturner@posteo.net\",\ncomment=c(ORCID=\"0000-0001-5521-5218\")),\nperson(\"Ege\",   \"Rubak\",\nrole = c(\"aut\", \"cph\"),\nemail = \"rubak@math.aau.dk\",\ncomment=c(ORCID=\"0000-0002-6675-533X\")),\nperson(\"Tilman\",    \"Davies\",        role = \"ctb\"),\nperson(\"Ute\",       \"Hahn\",          role = \"ctb\"),\nperson(\"Abdollah\",  \"Jalilian\",      role = \"ctb\"),\nperson(\"Greg\",      \"McSwiggan\",     role = c(\"ctb\", \"cph\")),\nperson(\"Sebastian\", \"Meyer\",         role = c(\"ctb\", \"cph\")),\nperson(\"Jens\",      \"Oehlschlaegel\", role = c(\"ctb\", \"cph\")),\nperson(\"Suman\",     \"Rakshit\",       role = \"ctb\"),\nperson(\"Dominic\",   \"Schuhmacher\",   role = \"ctb\"),\nperson(\"Rasmus\",    \"Waagepetersen\", role = \"ctb\"))","Maintainer":"Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>","Description":"Defines spatial data types and supports geometrical\noperations on them. Data types include point patterns, windows\n(domains), pixel images, line segment patterns, tessellations\nand hyperframes. Capabilities include creation and manipulation\nof data (using command line or graphical interaction),\nplotting, geometrical operations (rotation, shift, rescale,\naffine transformation), convex hull, discretisation and\npixellation, Dirichlet tessellation, Delaunay triangulation,\npairwise distances, nearest-neighbour distances, distance\ntransform, morphological operations (erosion, dilation,\nclosing, opening), quadrat counting, geometrical measurement,\ngeometrical covariance, colour maps, calculus on spatial\ndomains, Gaussian blur, level sets of images, transects of\nimages, intersections between objects, minimum distance\nmatching. (Excludes spatial data on a network, which are\nsupported by the package 'spatstat.linnet'.)","License":"GPL (>= 2)","URL":"http://spatstat.org/","NeedsCompilation":"yes","ByteCompile":"true","BugReports":"https://github.com/spatstat/spatstat.geom/issues","Repository":"https://spatstat.r-universe.dev","RemoteUrl":"https://github.com/spatstat/spatstat.geom","RemoteRef":"HEAD","RemoteSha":"af1c2795566a905adf60357dc18f63c4b4a15318","Packaged":{"Date":"2025-01-02 02:54:55 UTC","User":"root"},"Author":"Adrian Baddeley [aut, cre, cph]\n(<https://orcid.org/0000-0001-9499-8382>),\nRolf Turner [aut, cph] (<https://orcid.org/0000-0001-5521-5218>),\nEge Rubak [aut, cph] (<https://orcid.org/0000-0002-6675-533X>),\nTilman Davies [ctb],\nUte Hahn [ctb],\nAbdollah Jalilian [ctb],\nGreg McSwiggan [ctb, cph],\nSebastian Meyer [ctb, cph],\nJens Oehlschlaegel [ctb, cph],\nSuman Rakshit [ctb],\nDominic Schuhmacher [ctb],\nRasmus Waagepetersen [ctb]","MD5sum":"2183cd164b7a35882c563ed6dcbd7bfc","_user":"spatstat","_type":"src","_file":"spatstat.geom_3.3-4.009.tar.gz","_fileid":"de354bdba5d685624bd5456c41777096a547ecabd4f93292ceb230b703f6c0e2","_filesize":2868540,"_sha256":"de354bdba5d685624bd5456c41777096a547ecabd4f93292ceb230b703f6c0e2","_created":"2025-01-02T02:54:55.000Z","_published":"2025-01-02T03:07:07.145Z","_upstream":"https://github.com/spatstat/spatstat.geom","_commit":{"id":"af1c2795566a905adf60357dc18f63c4b4a15318","author":"Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>","committer":"Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>","message":"hyperframe handles Surv objects\n","time":1735785219},"_maintainer":{"name":"Adrian Baddeley","email":"adrian.baddeley@curtin.edu.au","login":"baddstats","uuid":7161794,"orcid":"0000-0001-9499-8382"},"_distro":"noble","_host":"GitHub-Actions","_status":"success","_pkgdocs":"skipped","_winbinary":"success","_macbinary":"success","_wasmbinary":"none","_linuxdevel":"success","_windevel":"success","_buildurl":"https://github.com/r-universe/spatstat/actions/runs/12576845544","_registered":true,"_dependencies":[{"package":"R","version":">= 3.5.0","role":"Depends"},{"package":"spatstat.data","version":">= 3.1","role":"Depends"},{"package":"spatstat.univar","version":">= 3.1-0","role":"Depends"},{"package":"stats","role":"Depends"},{"package":"graphics","role":"Depends"},{"package":"grDevices","role":"Depends"},{"package":"utils","role":"Depends"},{"package":"methods","role":"Depends"},{"package":"spatstat.utils","version":">= 3.1-1.001","role":"Imports"},{"package":"deldir","version":">= 1.0-2","role":"Imports"},{"package":"polyclip","version":">= 1.10-0","role":"Imports"},{"package":"spatstat.random","version":">= 3.3","role":"Suggests"},{"package":"spatstat.explore","version":">= 3.3","role":"Suggests"},{"package":"spatstat.model","version":">= 3.3","role":"Suggests"},{"package":"spatstat.linnet","version":">= 3.2","role":"Suggests"},{"package":"spatial","role":"Suggests"},{"package":"fftwtools","version":">= 0.9-8","role":"Suggests"},{"package":"spatstat","version":">= 3.2","role":"Suggests"}],"_owner":"spatstat","_selfowned":true,"_usedby":216,"_updates":[{"week":"2024-02","n":2},{"week":"2024-03","n":2},{"week":"2024-04","n":2},{"week":"2024-05","n":6},{"week":"2024-07","n":1},{"week":"2024-08","n":1},{"week":"2024-09","n":1},{"week":"2024-12","n":1},{"week":"2024-13","n":1},{"week":"2024-14","n":2},{"week":"2024-15","n":1},{"week":"2024-16","n":3},{"week":"2024-17","n":5},{"week":"2024-18","n":5},{"week":"2024-23","n":1},{"week":"2024-24","n":5},{"week":"2024-25","n":1},{"week":"2024-26","n":5},{"week":"2024-27","n":4},{"week":"2024-28","n":1},{"week":"2024-29","n":1},{"week":"2024-30","n":1},{"week":"2024-36","n":1},{"week":"2024-37","n":1},{"week":"2024-38","n":1},{"week":"2024-39","n":1},{"week":"2024-40","n":1},{"week":"2024-41","n":3},{"week":"2024-42","n":1},{"week":"2024-43","n":1},{"week":"2024-44","n":1},{"week":"2024-47","n":3},{"week":"2024-48","n":3},{"week":"2024-49","n":3},{"week":"2025-01","n":1}],"_tags":[{"name":"v3.3-0","date":"2024-07-06"},{"name":"v3.3-4","date":"2024-11-18"}],"_topics":["classes-and-objects","distance-calculation","geometry","geometry-processing","images","mensuration","plotting","point-patterns","spatial-data","spatial-data-analysis"],"_stars":7,"_contributions":{"baddstats":297,"rubak":3},"_userbio":{"uuid":8414375,"type":"organization","name":"The Spatstat Team"},"_downloads":{"count":52680,"source":"https://cranlogs.r-pkg.org/downloads/total/last-month/spatstat.geom"},"_mentions":172,"_devurl":"https://github.com/spatstat/spatstat.geom","_searchresults":229,"_assets":["extra/citation.cff","extra/citation.html","extra/citation.json","extra/citation.txt","extra/contents.json","extra/NEWS.html","extra/NEWS.txt","extra/readme.html","extra/readme.md","extra/spatstat.geom.html","manual.pdf"],"_homeurl":"https://github.com/spatstat/spatstat.geom","_realowner":"spatstat","_cranurl":true,"_releases":[{"version":"1.65-5","date":"2021-01-15"},{"version":"2.0-1","date":"2021-03-22"},{"version":"2.1-0","date":"2021-04-15"},{"version":"2.2-0","date":"2021-06-15"},{"version":"2.2-2","date":"2021-07-12"},{"version":"2.3-0","date":"2021-10-09"},{"version":"2.3-1","date":"2021-12-10"},{"version":"2.3-2","date":"2022-02-12"},{"version":"2.4-0","date":"2022-03-29"},{"version":"3.0-3","date":"2022-10-25"},{"version":"3.0-5","date":"2023-01-22"},{"version":"3.0-6","date":"2023-01-30"},{"version":"3.1-0","date":"2023-03-12"},{"version":"3.2-1","date":"2023-05-09"},{"version":"3.2-2","date":"2023-07-06"},{"version":"3.2-4","date":"2023-07-20"},{"version":"3.2-5","date":"2023-09-05"},{"version":"3.2-7","date":"2023-10-20"},{"version":"3.2-8","date":"2024-01-26"},{"version":"3.2-9","date":"2024-02-28"},{"version":"3.3-2","date":"2024-07-15"},{"version":"3.3-3","date":"2024-09-18"},{"version":"3.3-4","date":"2024-11-18"}],"_exports":["[.anylist","[.diagramobj","[.hyperframe","[.im","[.layered","[.owin","[.pp3","[.ppp","[.ppx","[.psp","[.quad","[.solist","[.splitppp","[.splitppx","[.tess","[[.hyperframe","[[<-.hyperframe","[[<-.layered","[<-.anylist","[<-.hyperframe","[<-.im","[<-.layered","[<-.listof","[<-.ppp","[<-.solist","[<-.splitppp","[<-.splitppx","[<-.tess","%(-)%","%(+)%","%mapp%","%mark%","%mrep%","%msub%","%unit%","$.hyperframe","$<-.hyperframe","acedist.noshow","acedist.show","add.texture","affine","affine.diagramobj","affine.distfun","affine.im","affine.layered","affine.owin","affine.ppp","affine.psp","affine.tess","affinexy","affinexypolygon","allElementsIdentical","angles.psp","anycrossing.psp","anyDuplicated.ppp","anyDuplicated.ppx","anylapply","anylist","anyNA.im","append.psp","applynbd","applyPolyclipArgs","applytolayers","area","area.default","area.owin","areaGain","areaGain.diri","areaGain.grid","areaLoss","areaLoss.diri","areaLoss.grid","areaLoss.poly","as.anylist","as.array.im","as.box3","as.boxx","as.character.unitname","as.colourmap","as.colourmap.colourmap","as.colourmap.symbolmap","as.data.frame.hyperframe","as.data.frame.im","as.data.frame.owin","as.data.frame.ppp","as.data.frame.ppplist","as.data.frame.ppx","as.data.frame.psp","as.data.frame.tess","as.double.im","as.function.im","as.function.owin","as.function.tess","as.hyperframe","as.hyperframe.anylist","as.hyperframe.data.frame","as.hyperframe.default","as.hyperframe.hyperframe","as.hyperframe.listof","as.hyperframe.ppx","as.im","as.im.data.frame","as.im.default","as.im.distfun","as.im.expression","as.im.function","as.im.funxy","as.im.im","as.im.matrix","as.im.nnfun","as.im.owin","as.im.ppp","as.im.tess","as.imlist","as.layered","as.layered.default","as.layered.listof","as.layered.ppp","as.layered.solist","as.layered.splitppp","as.linimlist","as.list.hyperframe","as.listof","as.mask","as.mask.psp","as.matrix.im","as.matrix.owin","as.matrix.ppx","as.owin","as.owin.boxx","as.owin.data.frame","as.owin.default","as.owin.distfun","as.owin.funxy","as.owin.im","as.owin.layered","as.owin.nnfun","as.owin.owin","as.owin.ppp","as.owin.psp","as.owin.quad","as.owin.quadratcount","as.owin.tess","as.polygonal","as.ppp","as.ppp.data.frame","as.ppp.default","as.ppp.matrix","as.ppp.ppp","as.ppp.psp","as.ppp.quad","as.ppplist","as.psp","as.psp.data.frame","as.psp.default","as.psp.matrix","as.psp.owin","as.psp.psp","as.rectangle","as.solist","as.tess","as.tess.im","as.tess.list","as.tess.owin","as.tess.quadratcount","as.tess.tess","as.unitname","AsMaskInternal","AsymmDistance.psp","avenndist","bbEngine","bdist.pixels","bdist.points","bdist.tiles","bdry.mask","beachcolourmap","beachcolours","border","bounding.box.xy","bounding.box3","boundingbox","boundingbox.default","boundingbox.im","boundingbox.linnet","boundingbox.list","boundingbox.lpp","boundingbox.owin","boundingbox.ppp","boundingbox.psp","boundingbox.solist","boundingcentre","boundingcentre.owin","boundingcentre.ppp","boundingcircle","boundingcircle.owin","boundingcircle.ppp","boundingradius","boundingradius.owin","boundingradius.ppp","box3","boxx","break.holes","bufftess","by.im","by.ppp","cartesian","cbind.hyperframe","cellmiddles","centroid.owin","check.arc","check.finespacing","checkbigmatrix","checkfields","chop.tess","circumradius","circumradius.owin","circumradius.ppp","circunion","clear.simplepanel","clickbox","clickdist","clickpoly","clickppp","clip.infline","clip.psp","clippoly.psp","cliprect.psp","closepairs","closepairs.pp3","closepairs.ppp","closethresh","closetriples","closing","closing.owin","closing.ppp","closing.psp","cobble.xy","cocoEngine","codetime","coerce.marks.numeric","col.args.to.grey","col2hex","colourmap","colouroutputs","colouroutputs<-","commonGrid","commonPolyclipArgs","compatible","compatible.im","compatible.unitname","complement.owin","complementarycolour","Complex.im","Complex.imlist","concatxy","conform.imagelist","connected","connected.im","connected.owin","connected.pp3","connected.ppp","connected.tess","contour.funxy","contour.im","contour.imlist","contour.listof","convexhull","convexhull.xy","convexify","convexmetric","convolve.im","coords","coords.ppp","coords.ppx","coords.quad","coords<-","coords<-.ppp","coords<-.ppx","corners","countingweights","covering","crossdist","crossdist.default","crossdist.pp3","crossdist.ppp","crossdist.ppx","crossdist.psp","crossing.psp","crosspairquad","crosspairs","crosspairs.pp3","crosspairs.ppp","cut.im","cut.ppp","default.dummy","default.image.colours","default.n.tiling","default.ntile","default.symbolmap","default.symbolmap.ppp","delaunay","delaunayDistance","deltametric","dflt.redraw","diagramobj","diameter","diameter.box3","diameter.boxx","diameter.owin","dilated.areas","dilation","dilation.owin","dilation.ppp","dilation.psp","dilationAny","dim.hyperframe","dim.im","dim.owin","dimnames.hyperframe","dimnames<-.hyperframe","dirichlet","dirichletAreas","dirichletEdges","dirichletVertices","dirichletWeights","disc","discpartarea","discretise","discs","dist2dpath","distfun","distfun.owin","distfun.ppp","distfun.psp","distmap","distmap.owin","distmap.ppp","distmap.psp","do.as.im","do.call.plotfun","domain","domain.distfun","domain.funxy","domain.im","domain.layered","domain.nnfun","domain.pp3","domain.ppp","domain.ppx","domain.psp","domain.quad","domain.quadratcount","domain.tess","drawSignedPoly","duplicated.ppp","duplicated.ppx","edges","edges2triangles","edges2vees","edit.hyperframe","edit.im","edit.ppp","edit.psp","ellipse","emptywindow","endpoints.psp","equalpairs.quad","equals.quad","equalsfun.quad","eroded.areas","eroded.volumes","eroded.volumes.box3","eroded.volumes.boxx","erodemask","erosion","erosion.owin","erosion.ppp","erosion.psp","erosionAny","eval.im","even.breaks.owin","exactdt","exactPdt","existsSpatstatVariable","expandSpecialLists","extrapolate.psp","fakemaintitle","fardist","fardist.owin","fardist.ppp","fft2D","fftwAvailable","fillNA","flipxy","flipxy.diagramobj","flipxy.distfun","flipxy.im","flipxy.infline","flipxy.layered","flipxy.owin","flipxy.ppp","flipxy.psp","flipxy.tess","flipxypolygon","format.numberwithunit","fourierbasis","fourierbasisraw","Frame","Frame.default","Frame<-","Frame<-.default","Frame<-.im","Frame<-.owin","Frame<-.ppp","framebottomleft","framedist.pixels","funxy","gammabreaks","genericNNdistBy","getfields","getlastshift","getSpatstatVariable","grid1index","gridcenters","gridcentres","gridindex","gridweights","grow.box3","grow.boxx","grow.mask","grow.rectangle","grow.simplepanel","Halton","Hammersley","handle.r.b.args","harmonise","harmonise.im","harmonise.owin","harmonise.unitname","harmoniseLevels","harmonize","harmonize.im","harmonize.owin","harmonize.unitname","has.close","has.close.default","has.close.pp3","has.close.ppp","head.hyperframe","head.ppp","head.ppx","head.psp","head.tess","hexagon","hexgrid","hextess","hist.funxy","hist.im","hsvim","hsvNA","hyperframe","identify.ppp","identify.psp","idorempty","im","im.apply","image.im","image.imlist","image.listof","imagelistOp","imageOp","imcov","incircle","infline","inpoint","inradius","inside.arc","inside.boxx","inside.owin","integral.im","intensity","intensity.ppp","intensity.ppx","intensity.psp","intensity.quadratcount","intensity.splitppp","interp.colourmap","interp.colours","interp.im","interpretAsOrigin","intersect.boxx","intersect.owin","intersect.tess","intX.owin","intX.xypolygon","intY.owin","intY.xypolygon","invoke.metric","invoke.symbolmap","invokeColourmapRule","is.boxx","is.col.argname","is.colour","is.connected","is.connected.default","is.connected.ppp","is.convex","is.data","is.empty","is.empty.default","is.empty.owin","is.empty.ppp","is.empty.psp","is.fv","is.grey","is.hyperframe","is.im","is.imlist","is.infline","is.linim","is.linnet","is.lpp","is.marked","is.marked.default","is.marked.ppp","is.marked.psp","is.marked.quad","is.mask","is.multitype","is.multitype.default","is.multitype.ppp","is.multitype.quad","is.owin","is.polygonal","is.pp3","is.ppp","is.ppplist","is.ppx","is.psp","is.quad","is.rectangle","is.sob","is.solist","is.subset.owin","is.tess","is.vanilla","layered","layerplotargs","layerplotargs<-","layout.boxes","lengths_psp","levels.im","levels<-.im","levelsAsFactor","levelset","listof","logi.dummy","lookup.im","lut","majorminorversion","makeunitname","mark.scale.default","markappend","markappendop","markcbind","markformat","markformat.default","markformat.ppp","markformat.ppx","markformat.psp","markreplicateop","marks","marks.default","marks.ppp","marks.ppx","marks.psp","marks.quad","marks.tess","marks<-","marks<-.ppp","marks<-.ppx","marks<-.psp","marks<-.tess","markspace.integral","markstat","marksubset","marksubsetop","markvaluetype","mask2df","matchingdist","Math.im","Math.imlist","maxflow","maxnndist","mean.im","meanX.owin","meanY.owin","median.im","mergeLevels","midpoints.psp","MinimalTess","MinkowskiSum","minnndist","multiplicity","multiplicity.data.frame","multiplicity.default","multiplicity.ppp","multiplicity.ppx","multiplicityNumeric","multiply.only.finite.entries","n.quad","na.handle.im","names.hyperframe","names<-.hyperframe","nearest.pixel","nearest.raster.point","nearest.valid.pixel","nearestsegment","nearestValue","nestsplit","nncross","nncross.default","nncross.pp3","nncross.ppp","nncross.ppx","nndist","nndist.default","nndist.pp3","nndist.ppp","nndist.ppx","nndist.psp","nnfun","nnfun.ppp","nnfun.psp","nnmap","nnmark","nnwhich","nnwhich.default","nnwhich.pp3","nnwhich.ppp","nnwhich.ppx","nobjects","nobjects.ppp","nobjects.ppx","nobjects.psp","nobjects.tess","npoints","npoints.pp3","npoints.ppp","npoints.ppx","nsegments","nsegments.psp","numberwithunit","numeric.columns","nvertices","nvertices.default","nvertices.owin","onearrow","onecolumn","opening","opening.owin","opening.ppp","opening.psp","Ops.im","Ops.imlist","overlap.owin","owin","owin2mask","owin2polypath","owinInternalMask","owinInternalPoly","owinInternalRect","owinpoly2mask","owinpolycheck","packupNNdata","padimage","pairdist","pairdist.default","pairdist.pp3","pairdist.ppp","pairdist.ppx","pairdist.psp","paletteindex","param.quad","parbreak","PDtoNN","perimeter","periodify","periodify.owin","periodify.ppp","periodify.psp","persp.funxy","persp.im","persp.ppp","perspContour","perspLines","perspPoints","perspSegments","perspVisible","pHcolour","pHcolourmap","pickoption","pixelcentres","pixellate","pixellate.owin","pixellate.ppp","pixellate.psp","pixelquad","plan.legend.layout","plot.anylist","plot.barplotdata","plot.colourmap","plot.funxy","plot.hyperframe","plot.im","plot.imlist","plot.indicfun","plot.infline","plot.layered","plot.listof","plot.onearrow","plot.owin","plot.pp3","plot.ppp","plot.pppmatching","plot.ppx","plot.psp","plot.quad","plot.quadratcount","plot.solist","plot.splitppp","plot.symbolmap","plot.tess","plot.textstring","plot.texturemap","plot.yardstick","plot3Dpoints","plotEachLayer","plotPolygonBdry","plotWidthMap","pointgrid","pointsOnLines","pointweights","polartess","polytileareaEngine","pp3","ppllengine","ppp","pppdist","pppdist.mat","pppdist.prohorov","pppmatching","ppsubset","ppx","prepareTitle","print.anylist","print.box3","print.boxx","print.colourmap","print.distfun","print.funxy","print.hyperframe","print.im","print.indicfun","print.infline","print.layered","print.lut","print.metric","print.metricfun","print.nnfun","print.numberwithunit","print.onearrow","print.owin","print.pp3","print.ppp","print.pppmatching","print.ppx","print.psp","print.quad","print.simplepanel","print.solist","print.splitppp","print.splitppx","print.summary.distfun","print.summary.funxy","print.summary.hyperframe","print.summary.im","print.summary.listof","print.summary.logiquad","print.summary.lut","print.summary.owin","print.summary.pp3","print.summary.ppp","print.summary.psp","print.summary.quad","print.summary.solist","print.summary.splitppp","print.summary.splitppx","print.summary.symbolmap","print.summary.unitname","print.symbolmap","print.tess","print.textstring","print.texturemap","print.timed","print.unitname","print.yardstick","progressreport","project2segment","project2set","project3Dhom","psp","psp2mask","putlastshift","putSpatstatVariable","qtPrepareCoordinate","quad","quadratcount","quadratcount.ppp","quadratcount.splitppp","quadrats","quadscheme","quadscheme.logi","quadscheme.replicated","quadscheme.spatial","quantess","quantess.im","quantess.owin","quantess.ppp","quantile.im","quantilefun.im","raster.x","raster.xy","raster.y","rasterfilter","rastersample","rasterx.im","rasterx.mask","rasterxy.im","rasterxy.mask","rastery.im","rastery.mask","rbind.hyperframe","rebound","rebound.im","rebound.owin","rebound.ppp","rebound.psp","recognise.spatstat.type","rectdistmap","rectquadrat.breaks","rectquadrat.countEngine","redraw.simplepanel","reflect","reflect.default","reflect.diagramobj","reflect.distfun","reflect.im","reflect.infline","reflect.layered","reflect.tess","regularpolygon","relevel.im","relevel.ppp","relevel.ppx","remove.identical.pairs","repair.image.xycoords","repair.old.factor.image","requireversion","rescale","rescale.distfun","rescale.im","rescale.layered","rescale.owin","rescale.ppp","rescale.psp","rescale.unitname","rescue.rectangle","reset.default.image.colours","reset.spatstat.options","resolve.stringsAsFactors","restrict.colourmap","restrict.mask","rev.colourmap","reversePolyclipArgs","rexplode","rexplode.ppp","rgb2hex","rgb2hsva","rgbim","rgbNA","ripras","rjitter","rjitter.ppp","rlinegrid","rotate","rotate.diagramobj","rotate.distfun","rotate.im","rotate.infline","rotate.layered","rotate.owin","rotate.ppp","rotate.psp","rotate.tess","rotxy","rotxypolygon","round.pp3","round.ppp","round.ppx","rounding.pp3","rounding.ppp","rounding.ppx","row.names.hyperframe","row.names<-.hyperframe","rQuasi","rsyst","ruletextline","run.simplepanel","runifrect","safedeldir","safeDevCapabilities","safelookup","samecolour","scalardilate","scalardilate.breakpts","scalardilate.default","scalardilate.diagramobj","scalardilate.distfun","scalardilate.im","scalardilate.layered","scalardilate.owin","scalardilate.ppp","scalardilate.psp","scalardilate.tess","scale.boxx","scale.ppx","scaletointerval","scaletointerval.default","scaletointerval.im","scanpp","selfcrossing.psp","selfcut.psp","sessionLibs","setcov","setmarks","setminus.owin","shift","shift.boxx","shift.diagramobj","shift.distfun","shift.im","shift.infline","shift.layered","shift.owin","shift.ppp","shift.ppx","shift.psp","shift.quadratcount","shift.tess","shiftxy","shiftxypolygon","shortside","shortside.box3","shortside.boxx","shortside.owin","sidelengths","sidelengths.box3","sidelengths.boxx","sidelengths.owin","simplepanel","simplify.owin","simulationresult","smudge","solapply","solist","solutionset","sort.im","spatdim","spatstat.deldir.setopt","spatstat.options","spatstat.xy.coords","spatstatDiagnostic","split.hyperframe","split.im","split.ppp","split.ppx","split<-.hyperframe","split<-.ppp","spokes","square","store.versionstring.spatstat","str.hyperframe","stratrand","subset.hyperframe","subset.pp3","subset.ppp","subset.ppx","subset.psp","summary.anylist","summary.distfun","summary.funxy","summary.hyperframe","summary.im","Summary.im","Summary.imlist","summary.listof","summary.logiquad","summary.lut","summary.metric","summary.owin","summary.pp3","summary.ppp","summary.pppmatching","summary.ppx","summary.psp","summary.quad","summary.solist","summary.splitppp","summary.splitppx","summary.symbolmap","summary.unitname","superimpose","superimpose.default","superimpose.ppp","superimpose.ppplist","superimpose.psp","superimpose.splitppp","superimposeMarks","symbol.sizes.default","symbolmap","symbolmapdomain","symbolmapparnames","symbolmaptype","tail.hyperframe","tail.ppp","tail.ppx","tail.psp","tail.tess","tess","test.crossing.psp","test.selfcrossing.psp","text.ppp","text.psp","textstring","texturemap","textureplot","thickSegments","tile.areas","tilecentroids","tileindex","tilenames","tilenames.tess","tilenames<-","tilenames<-.tess","tiles","tiles.empty","timed","timeTaken","to.grey","to.opaque","to.saturated","to.transparent","transmat","trianglediameters","triangulate.owin","trim.mask","trim.rectangle","tweak.closepairs","tweak.colourmap","union.owin","union.quad","unique.ppp","unique.ppx","uniquemap.lpp","uniquemap.ppp","uniquemap.ppx","unit.square","unitname","unitname.box3","unitname.boxx","unitname.default","unitname.im","unitname.owin","unitname.pp3","unitname.ppp","unitname.ppx","unitname.psp","unitname.quad","unitname.tess","unitname<-","unitname<-.box3","unitname<-.boxx","unitname<-.default","unitname<-.im","unitname<-.owin","unitname<-.pp3","unitname<-.ppp","unitname<-.ppx","unitname<-.psp","unitname<-.quad","unitname<-.tess","unmark","unmark.ppp","unmark.ppx","unmark.psp","unmark.splitppp","unmark.tess","unstack.layered","unstack.ppp","unstack.psp","unstack.solist","unstack.tess","unstackFilter","update.im","update.symbolmap","validate.mask","validate.quad","validradius","vdCorput","venn.tess","verifyclass","versioncurrency.spatstat","versionstring.spatstat","vertices","vertices.owin","veryunique","volume","volume.box3","volume.boxx","volume.owin","w.quad","warn.no.metric.support","warn.once","warn.unsupported.args","waxlyrical","where.max","where.min","whichhalfplane","Window","Window.distfun","Window.funxy","Window.im","Window.layered","Window.nnfun","Window.ppp","Window.psp","Window.quad","Window.quadratcount","Window.tess","Window<-","Window<-.im","Window<-.ppp","Window<-.psp","Window<-.quad","with.hyperframe","wrangle2image","x.quad","XDtoNN","xtfrm.im","xy.grid","xypolygon2psp","xypolyselfint","y.quad","yardstick","zapsmall.im","ZeroValue","ZeroValue.im"],"_help":[{"page":"spatstat.geom-package","title":"The spatstat.geom Package","topics":["spatstat.geom-package","spatstat.geom"]},{"page":"add.texture","title":"Fill Plot With Texture","topics":["add.texture"]},{"page":"affine","title":"Apply Affine Transformation","topics":["affine"]},{"page":"affine.im","title":"Apply Affine Transformation To Pixel Image","topics":["affine.im"]},{"page":"affine.owin","title":"Apply Affine Transformation To Window","topics":["affine.owin"]},{"page":"affine.ppp","title":"Apply Affine Transformation To Point Pattern","topics":["affine.ppp"]},{"page":"affine.psp","title":"Apply Affine Transformation To Line Segment Pattern","topics":["affine.psp"]},{"page":"affine.tess","title":"Apply Geometrical Transformation To Tessellation","topics":["affine.tess","flipxy.tess","reflect.tess","rotate.tess","scalardilate.tess","shift.tess"]},{"page":"angles.psp","title":"Orientation Angles of Line Segments","topics":["angles.psp"]},{"page":"anylist","title":"List of Objects","topics":["anylist","as.anylist"]},{"page":"anyNA.im","title":"Check Whether Image Contains NA Values","topics":["anyNA.im"]},{"page":"append.psp","title":"Combine Two Line Segment Patterns","topics":["append.psp"]},{"page":"applynbd","title":"Apply Function to Every Neighbourhood in a Point Pattern","topics":["applynbd"]},{"page":"area.owin","title":"Area of a Window","topics":["area","area.default","area.owin","volume.owin"]},{"page":"areaGain","title":"Difference of Disc Areas","topics":["areaGain"]},{"page":"areaLoss","title":"Difference of Disc Areas","topics":["areaLoss"]},{"page":"as.box3","title":"Convert Data to Three-Dimensional Box","topics":["as.box3"]},{"page":"as.boxx","title":"Convert Data to Multi-Dimensional Box","topics":["as.boxx"]},{"page":"as.colourmap","title":"Convert to Colour Map","topics":["as.colourmap","as.colourmap.colourmap","as.colourmap.symbolmap"]},{"page":"as.data.frame.hyperframe","title":"Coerce Hyperframe to Data Frame","topics":["as.data.frame.hyperframe"]},{"page":"as.data.frame.im","title":"Convert Pixel Image to Data Frame","topics":["as.data.frame.im"]},{"page":"as.data.frame.owin","title":"Convert Window to Data Frame","topics":["as.data.frame.owin"]},{"page":"as.data.frame.ppp","title":"Coerce Point Pattern to a Data Frame","topics":["as.data.frame.ppp"]},{"page":"as.data.frame.psp","title":"Coerce Line Segment Pattern to a Data Frame","topics":["as.data.frame.psp"]},{"page":"as.data.frame.tess","title":"Convert Tessellation to Data Frame","topics":["as.data.frame.tess"]},{"page":"as.function.im","title":"Convert Pixel Image to Function of Coordinates","topics":["as.function.im"]},{"page":"as.function.owin","title":"Convert Window to Indicator Function","topics":["as.function.owin"]},{"page":"as.function.tess","title":"Convert a Tessellation to a Function","topics":["as.function.tess"]},{"page":"as.hyperframe","title":"Convert Data to Hyperframe","topics":["as.hyperframe","as.hyperframe.anylist","as.hyperframe.data.frame","as.hyperframe.default","as.hyperframe.hyperframe","as.hyperframe.listof"]},{"page":"as.hyperframe.ppx","title":"Extract coordinates and marks of multidimensional point pattern","topics":["as.data.frame.ppx","as.hyperframe.ppx","as.matrix.ppx"]},{"page":"as.im","title":"Convert to Pixel Image","topics":["as.im","as.im.data.frame","as.im.default","as.im.distfun","as.im.expression","as.im.function","as.im.funxy","as.im.im","as.im.matrix","as.im.nnfun","as.im.owin","as.im.tess"]},{"page":"as.layered","title":"Convert Data To Layered Object","topics":["as.layered","as.layered.default","as.layered.listof","as.layered.ppp","as.layered.solist","as.layered.splitppp"]},{"page":"as.mask","title":"Pixel Image Approximation of a Window","topics":["as.mask"]},{"page":"as.matrix.im","title":"Convert Pixel Image to Matrix or Array","topics":["as.array.im","as.matrix.im"]},{"page":"as.matrix.owin","title":"Convert Pixel Image to Matrix","topics":["as.matrix.owin"]},{"page":"as.owin","title":"Convert Data To Class owin","topics":["as.owin","as.owin.boxx","as.owin.data.frame","as.owin.default","as.owin.distfun","as.owin.funxy","as.owin.im","as.owin.layered","as.owin.nnfun","as.owin.owin","as.owin.ppp","as.owin.psp","as.owin.quad","as.owin.quadratcount","as.owin.tess"]},{"page":"as.polygonal","title":"Convert a Window to a Polygonal Window","topics":["as.polygonal"]},{"page":"as.ppp","title":"Convert Data To Class ppp","topics":["as.ppp","as.ppp.data.frame","as.ppp.default","as.ppp.matrix","as.ppp.ppp","as.ppp.psp","as.ppp.quad"]},{"page":"as.psp","title":"Convert Data To Class psp","topics":["as.psp","as.psp.data.frame","as.psp.default","as.psp.matrix","as.psp.psp"]},{"page":"as.rectangle","title":"Window Frame","topics":["as.rectangle"]},{"page":"as.solist","title":"Convert List of Two-Dimensional Spatial Objects","topics":["as.solist"]},{"page":"as.tess","title":"Convert Data To Tessellation","topics":["as.tess","as.tess.im","as.tess.list","as.tess.owin","as.tess.quadratcount","as.tess.tess"]},{"page":"bdist.pixels","title":"Distance to Boundary of Window","topics":["bdist.pixels"]},{"page":"bdist.points","title":"Distance to Boundary of Window","topics":["bdist.points"]},{"page":"bdist.tiles","title":"Distance to Boundary of Window","topics":["bdist.tiles"]},{"page":"beachcolours","title":"Create Colour Scheme for a Range of Numbers","topics":["beachcolourmap","beachcolours"]},{"page":"border","title":"Border Region of a Window","topics":["border"]},{"page":"bounding.box.xy","title":"Convex Hull of Points","topics":["bounding.box.xy"]},{"page":"boundingbox","title":"Bounding Box of a Window, Image, or Point Pattern","topics":["boundingbox","boundingbox.default","boundingbox.im","boundingbox.linnet","boundingbox.lpp","boundingbox.owin","boundingbox.ppp","boundingbox.psp","boundingbox.solist"]},{"page":"boundingcircle","title":"Smallest Enclosing Circle","topics":["boundingcentre","boundingcentre.owin","boundingcentre.ppp","boundingcircle","boundingcircle.owin","boundingcircle.ppp","boundingradius","boundingradius.owin","boundingradius.ppp"]},{"page":"box3","title":"Three-Dimensional Box","topics":["box3"]},{"page":"boxx","title":"Multi-Dimensional Box","topics":["boxx"]},{"page":"bufftess","title":"Buffer Distance Tessellation","topics":["bufftess"]},{"page":"by.im","title":"Apply Function to Image Broken Down by Factor","topics":["by.im"]},{"page":"by.ppp","title":"Apply a Function to a Point Pattern Broken Down by Factor","topics":["by.ppp"]},{"page":"cbind.hyperframe","title":"Combine Hyperframes by Rows or by Columns","topics":["cbind.hyperframe","rbind.hyperframe"]},{"page":"centroid.owin","title":"Centroid of a window","topics":["centroid.owin"]},{"page":"chop.tess","title":"Subdivide a Window or Tessellation using a Set of Lines","topics":["chop.tess"]},{"page":"clickbox","title":"Interactively Define a Rectangle","topics":["clickbox"]},{"page":"clickdist","title":"Interactively Measure Distance","topics":["clickdist"]},{"page":"clickpoly","title":"Interactively Define a Polygon","topics":["clickpoly"]},{"page":"clickppp","title":"Interactively Add Points","topics":["clickppp"]},{"page":"clip.infline","title":"Intersect Infinite Straight Lines with a Window","topics":["clip.infline"]},{"page":"closepairs","title":"Close Pairs of Points","topics":["closepairs","closepairs.ppp","crosspairs","crosspairs.ppp"]},{"page":"closepairs.pp3","title":"Close Pairs of Points in 3 Dimensions","topics":["closepairs.pp3","crosspairs.pp3"]},{"page":"closetriples","title":"Close Triples of Points","topics":["closetriples"]},{"page":"closing","title":"Morphological Closing","topics":["closing","closing.owin","closing.ppp","closing.psp"]},{"page":"colourmap","title":"Colour Lookup Tables","topics":["colourmap"]},{"page":"colouroutputs","title":"Extract or Assign Colour Values in a Colour Map","topics":["colouroutputs","colouroutputs<-"]},{"page":"colourtools","title":"Convert and Compare Colours in Different Formats","topics":["col2hex","colourtools","complementarycolour","interp.colours","is.colour","is.grey","paletteindex","rgb2hex","rgb2hsva","samecolour","to.grey","to.opaque","to.saturated","to.transparent"]},{"page":"commonGrid","title":"Determine A Common Spatial Domain And Pixel Resolution","topics":["commonGrid"]},{"page":"compatible","title":"Test Whether Objects Are Compatible","topics":["compatible"]},{"page":"compatible.im","title":"Test Whether Pixel Images Are Compatible","topics":["compatible.im"]},{"page":"complement.owin","title":"Take Complement of a Window","topics":["complement.owin"]},{"page":"concatxy","title":"Concatenate x,y Coordinate Vectors","topics":["concatxy"]},{"page":"connected","title":"Connected components","topics":["connected","connected.im","connected.owin"]},{"page":"connected.ppp","title":"Connected Components of a Point Pattern","topics":["connected.pp3","connected.ppp"]},{"page":"connected.tess","title":"Connected Components of Tiles of a Tessellation","topics":["connected.tess"]},{"page":"contour.im","title":"Contour plot of pixel image","topics":["contour.im"]},{"page":"contour.imlist","title":"Array of Contour Plots","topics":["contour.imlist","contour.listof"]},{"page":"convexhull","title":"Convex Hull","topics":["convexhull"]},{"page":"convexhull.xy","title":"Convex Hull of Points","topics":["convexhull.xy"]},{"page":"convexify","title":"Weil's Convexifying Operation","topics":["convexify"]},{"page":"convexmetric","title":"Distance Metric Defined by Convex Set","topics":["convexmetric"]},{"page":"convolve.im","title":"Convolution of Pixel Images","topics":["convolve.im"]},{"page":"coords","title":"Extract or Change Coordinates of a Spatial or Spatiotemporal Point Pattern","topics":["coords","coords.ppp","coords.ppx","coords.quad","coords<-","coords<-.ppp","coords<-.ppx"]},{"page":"corners","title":"Corners of a rectangle","topics":["corners"]},{"page":"covering","title":"Cover Region with Discs","topics":["covering"]},{"page":"crossdist","title":"Pairwise distances","topics":["crossdist"]},{"page":"crossdist.default","title":"Pairwise distances between two different sets of points","topics":["crossdist.default"]},{"page":"crossdist.pp3","title":"Pairwise distances between two different three-dimensional point patterns","topics":["crossdist.pp3"]},{"page":"crossdist.ppp","title":"Pairwise distances between two different point patterns","topics":["crossdist.ppp"]},{"page":"crossdist.ppx","title":"Pairwise Distances Between Two Different Multi-Dimensional Point Patterns","topics":["crossdist.ppx"]},{"page":"crossdist.psp","title":"Pairwise distances between two different line segment patterns","topics":["crossdist.psp"]},{"page":"crossing.psp","title":"Crossing Points of Two Line Segment Patterns","topics":["crossing.psp"]},{"page":"cut.im","title":"Convert Pixel Image from Numeric to Factor","topics":["cut.im"]},{"page":"cut.ppp","title":"Classify Points in a Point Pattern","topics":["cut.ppp"]},{"page":"default.dummy","title":"Generate a Default Pattern of Dummy Points","topics":["default.dummy"]},{"page":"default.image.colours","title":"Default Colours for Images in Spatstat","topics":["default.image.colours","reset.default.image.colours"]},{"page":"default.symbolmap","title":"Default Symbol Map for Plotting a Spatial Pattern","topics":["default.symbolmap"]},{"page":"default.symbolmap.ppp","title":"Default Symbol Map for Point Pattern","topics":["default.symbolmap.ppp"]},{"page":"delaunay","title":"Delaunay Triangulation of Point Pattern","topics":["delaunay"]},{"page":"delaunayDistance","title":"Distance on Delaunay Triangulation","topics":["delaunayDistance"]},{"page":"deltametric","title":"Delta Metric","topics":["deltametric"]},{"page":"diameter","title":"Diameter of an Object","topics":["diameter"]},{"page":"diameter.box3","title":"Geometrical Calculations for Three-Dimensional Box","topics":["diameter.box3","eroded.volumes","eroded.volumes.box3","shortside","shortside.box3","sidelengths","sidelengths.box3","volume.box3"]},{"page":"diameter.boxx","title":"Geometrical Calculations for Multi-Dimensional Box","topics":["diameter.boxx","eroded.volumes.boxx","shortside.boxx","sidelengths.boxx","volume.boxx"]},{"page":"diameter.owin","title":"Diameter of a Window","topics":["diameter.owin"]},{"page":"dilated.areas","title":"Areas of Morphological Dilations","topics":["dilated.areas"]},{"page":"dilation","title":"Morphological Dilation","topics":["dilation","dilation.owin","dilation.ppp","dilation.psp"]},{"page":"dirichlet","title":"Dirichlet Tessellation of Point Pattern","topics":["dirichlet"]},{"page":"dirichletAreas","title":"Compute Areas of Tiles in Dirichlet Tessellation","topics":["dirichletAreas"]},{"page":"dirichletVertices","title":"Vertices and Edges of Dirichlet Tessellation","topics":["dirichletEdges","dirichletVertices"]},{"page":"dirichletWeights","title":"Compute Quadrature Weights Based on Dirichlet Tessellation","topics":["dirichletWeights"]},{"page":"disc","title":"Circular Window","topics":["disc"]},{"page":"discpartarea","title":"Area of Part of Disc","topics":["discpartarea"]},{"page":"discretise","title":"Safely Convert Point Pattern Window to Binary Mask","topics":["discretise"]},{"page":"discs","title":"Union of Discs","topics":["discs"]},{"page":"distfun","title":"Distance Map as a Function","topics":["distfun","distfun.owin","distfun.ppp","distfun.psp"]},{"page":"distmap","title":"Distance Map","topics":["distmap"]},{"page":"distmap.owin","title":"Distance Map of Window","topics":["distmap.owin"]},{"page":"distmap.ppp","title":"Distance Map of Point Pattern","topics":["distmap.ppp"]},{"page":"distmap.psp","title":"Distance Map of Line Segment Pattern","topics":["distmap.psp"]},{"page":"domain","title":"Extract the Domain of any Spatial Object","topics":["domain","domain.distfun","domain.funxy","domain.im","domain.layered","domain.nnfun","domain.pp3","domain.ppp","domain.ppx","domain.psp","domain.quad","domain.quadratcount","domain.tess"]},{"page":"duplicated.ppp","title":"Determine Duplicated Points in a Spatial Point Pattern","topics":["anyDuplicated.ppp","anyDuplicated.ppx","duplicated.ppp","duplicated.ppx"]},{"page":"edges","title":"Extract Boundary Edges of a Window.","topics":["edges"]},{"page":"edges2triangles","title":"List Triangles in a Graph","topics":["edges2triangles"]},{"page":"edges2vees","title":"List Dihedral Triples in a Graph","topics":["edges2vees"]},{"page":"edit.hyperframe","title":"Invoke Text Editor on Hyperframe","topics":["edit.hyperframe"]},{"page":"edit.ppp","title":"Invoke Text Editor on Spatial Data","topics":["edit.im","edit.ppp","edit.psp"]},{"page":"ellipse","title":"Elliptical Window.","topics":["ellipse"]},{"page":"endpoints.psp","title":"Endpoints of Line Segment Pattern","topics":["endpoints.psp"]},{"page":"eroded.areas","title":"Areas of Morphological Erosions","topics":["eroded.areas"]},{"page":"erosion","title":"Morphological Erosion by a Disc","topics":["erosion","erosion.owin","erosion.ppp","erosion.psp"]},{"page":"erosionAny","title":"Morphological Erosion of Windows","topics":["%(-)%","erosionAny"]},{"page":"eval.im","title":"Evaluate Expression Involving Pixel Images","topics":["eval.im"]},{"page":"Extract.anylist","title":"Extract or Replace Subset of a List of Things","topics":["[.anylist","[<-.anylist"]},{"page":"Extract.hyperframe","title":"Extract or Replace Subset of Hyperframe","topics":["$.hyperframe","$<-.hyperframe","[.hyperframe","[<-.hyperframe","[[.hyperframe","[[<-.hyperframe"]},{"page":"Extract.im","title":"Extract Subset of Image","topics":["[.im"]},{"page":"Extract.layered","title":"Extract or Replace Subset of a Layered Object","topics":["[.layered","[<-.layered","[[<-.layered"]},{"page":"Extract.listof","title":"Extract or Replace Subset of a List of Things","topics":["[<-.listof"]},{"page":"Extract.owin","title":"Extract Subset of Window","topics":["[.owin"]},{"page":"Extract.ppp","title":"Extract or Replace Subset of Point Pattern","topics":["[.ppp","[<-.ppp"]},{"page":"Extract.ppx","title":"Extract Subset of Multidimensional Point Pattern","topics":["[.ppx"]},{"page":"Extract.psp","title":"Extract Subset of Line Segment Pattern","topics":["[.psp"]},{"page":"Extract.quad","title":"Subset of Quadrature Scheme","topics":["[.quad"]},{"page":"Extract.solist","title":"Extract or Replace Subset of a List of Spatial Objects","topics":["[.solist","[<-.solist"]},{"page":"Extract.splitppp","title":"Extract or Replace Sub-Patterns","topics":["[.splitppp","[<-.splitppp"]},{"page":"Extract.tess","title":"Extract or Replace Subset of Tessellation","topics":["[.tess","[<-.tess"]},{"page":"extrapolate.psp","title":"Extrapolate Line Segments to Obtain Infinite Lines","topics":["extrapolate.psp"]},{"page":"fardist","title":"Farthest Distance to Boundary of Window","topics":["fardist","fardist.owin","fardist.ppp"]},{"page":"flipxy","title":"Exchange X and Y Coordinates","topics":["flipxy","flipxy.im","flipxy.owin","flipxy.ppp","flipxy.psp"]},{"page":"fourierbasis","title":"Fourier Basis Functions","topics":["fourierbasis","fourierbasisraw"]},{"page":"Frame","title":"Extract or Change the Containing Rectangle of a Spatial Object","topics":["Frame","Frame.default","Frame<-","Frame<-.default","Frame<-.im","Frame<-.owin","Frame<-.ppp"]},{"page":"framedist.pixels","title":"Distance to Bounding Frame","topics":["framedist.pixels"]},{"page":"funxy","title":"Spatial Function Class","topics":["funxy"]},{"page":"gridcentres","title":"Rectangular grid of points","topics":["gridcenters","gridcentres"]},{"page":"gridweights","title":"Compute Quadrature Weights Based on Grid Counts","topics":["gridweights"]},{"page":"grow.boxx","title":"Add margins to box in any dimension","topics":["grow.box3","grow.boxx"]},{"page":"grow.rectangle","title":"Add margins to rectangle","topics":["grow.rectangle"]},{"page":"harmonise","title":"Make Objects Compatible","topics":["harmonise","harmonize"]},{"page":"harmonise.im","title":"Make Pixel Images Compatible","topics":["harmonise.im","harmonize.im"]},{"page":"harmonise.owin","title":"Make Windows Compatible","topics":["harmonise.owin","harmonize.owin"]},{"page":"harmoniseLevels","title":"Harmonise the levels of several factors, or factor-valued pixel images.","topics":["harmoniseLevels"]},{"page":"has.close","title":"Check Whether Points Have Close Neighbours","topics":["has.close","has.close.default","has.close.pp3","has.close.ppp"]},{"page":"headtail","title":"First or Last Part of a Spatial Pattern","topics":["head.ppp","head.ppx","head.psp","head.tess","tail.ppp","tail.ppx","tail.psp","tail.tess"]},{"page":"hextess","title":"Hexagonal Grid or Tessellation","topics":["hexgrid","hextess"]},{"page":"hist.funxy","title":"Histogram of Values of a Spatial Function","topics":["hist.funxy"]},{"page":"hist.im","title":"Histogram of Pixel Values in an Image","topics":["hist.im"]},{"page":"hyperframe","title":"Hyper Data Frame","topics":["hyperframe"]},{"page":"identify.ppp","title":"Identify Points in a Point Pattern","topics":["identify.ppp"]},{"page":"identify.psp","title":"Identify Segments in a Line Segment Pattern","topics":["identify.psp"]},{"page":"im","title":"Create a Pixel Image Object","topics":["im"]},{"page":"im.apply","title":"Apply Function Pixelwise to List of Images","topics":["im.apply"]},{"page":"im.object","title":"Class of Images","topics":["im.object"]},{"page":"imcov","title":"Spatial Covariance of a Pixel Image","topics":["imcov"]},{"page":"incircle","title":"Find Largest Circle Inside Window","topics":["incircle","inradius"]},{"page":"infline","title":"Infinite Straight Lines","topics":["infline","plot.infline","print.infline"]},{"page":"inside.boxx","title":"Test Whether Points Are Inside A Multidimensional Box","topics":["inside.boxx"]},{"page":"inside.owin","title":"Test Whether Points Are Inside A Window","topics":["inside.owin"]},{"page":"integral.im","title":"Integral of a Pixel Image","topics":["integral.im"]},{"page":"intensity","title":"Intensity of a Dataset or a Model","topics":["intensity"]},{"page":"intensity.ppp","title":"Empirical Intensity of Point Pattern","topics":["intensity.ppp","intensity.splitppp"]},{"page":"intensity.ppx","title":"Intensity of a Multidimensional Space-Time Point Pattern","topics":["intensity.ppx"]},{"page":"intensity.psp","title":"Empirical Intensity of Line Segment Pattern","topics":["intensity.psp"]},{"page":"intensity.quadratcount","title":"Intensity Estimates Using Quadrat Counts","topics":["intensity.quadratcount"]},{"page":"interp.colourmap","title":"Interpolate smoothly between specified colours","topics":["interp.colourmap"]},{"page":"interp.im","title":"Interpolate a Pixel Image","topics":["interp.im"]},{"page":"intersect.boxx","title":"Intersection Of Boxes Of Arbitrary Dimension","topics":["intersect.boxx"]},{"page":"intersect.owin","title":"Intersection, Union or Set Subtraction of Windows","topics":["intersect.owin","setminus.owin","union.owin"]},{"page":"intersect.tess","title":"Intersection of Two Tessellations","topics":["intersect.tess"]},{"page":"invoke.metric","title":"Perform Geometric Task using a Specified Metric","topics":["invoke.metric"]},{"page":"invoke.symbolmap","title":"Plot Data Using Graphics Symbol Map","topics":["invoke.symbolmap"]},{"page":"is.boxx","title":"Recognise a Multi-Dimensional Box","topics":["is.boxx"]},{"page":"is.connected","title":"Determine Whether an Object is Connected","topics":["is.connected","is.connected.default"]},{"page":"is.connected.ppp","title":"Determine Whether a Point Pattern is Connected","topics":["is.connected.ppp"]},{"page":"is.convex","title":"Test Whether a Window is Convex","topics":["is.convex"]},{"page":"is.empty","title":"Test Whether An Object Is Empty","topics":["is.empty","is.empty.default","is.empty.owin","is.empty.ppp","is.empty.psp"]},{"page":"is.im","title":"Test Whether An Object Is A Pixel Image","topics":["is.im"]},{"page":"is.linim","title":"Test Whether an Object is a Pixel Image on a Linear Network","topics":["is.linim"]},{"page":"is.linnet","title":"Test Whether An Object Is A Linear Network","topics":["is.linnet"]},{"page":"is.lpp","title":"Test Whether An Object Is A Point Pattern on a Linear Network","topics":["is.lpp"]},{"page":"is.marked","title":"Test Whether Marks Are Present","topics":["is.marked"]},{"page":"is.marked.ppp","title":"Test Whether A Point Pattern is Marked","topics":["is.marked.ppp"]},{"page":"is.multitype","title":"Test whether Object is Multitype","topics":["is.multitype"]},{"page":"is.multitype.ppp","title":"Test Whether A Point Pattern is Multitype","topics":["is.multitype.ppp"]},{"page":"is.owin","title":"Test Whether An Object Is A Window","topics":["is.owin"]},{"page":"is.ppp","title":"Test Whether An Object Is A Point Pattern","topics":["is.ppp"]},{"page":"is.rectangle","title":"Determine Type of Window","topics":["is.mask","is.polygonal","is.rectangle"]},{"page":"is.subset.owin","title":"Determine Whether One Window is Contained In Another","topics":["is.subset.owin"]},{"page":"layered","title":"Create List of Plotting Layers","topics":["layered"]},{"page":"layerplotargs","title":"Extract or Replace the Plot Arguments of a Layered Object","topics":["layerplotargs","layerplotargs<-"]},{"page":"layout.boxes","title":"Generate a Row or Column Arrangement of Rectangles.","topics":["layout.boxes"]},{"page":"lengths_psp","title":"Lengths of Line Segments","topics":["lengths_psp"]},{"page":"levelset","title":"Level Set of a Pixel Image","topics":["levelset"]},{"page":"lut","title":"Lookup Tables","topics":["lut"]},{"page":"marks","title":"Marks of a Point Pattern","topics":["%mark%","marks","marks.ppp","marks.ppx","marks<-","marks<-.ppp","marks<-.ppx","setmarks"]},{"page":"marks.psp","title":"Marks of a Line Segment Pattern","topics":["marks.psp","marks<-.psp"]},{"page":"marks.tess","title":"Marks of a Tessellation","topics":["marks.tess","marks<-.tess","unmark.tess"]},{"page":"markstat","title":"Summarise Marks in Every Neighbourhood in a Point Pattern","topics":["markstat"]},{"page":"matchingdist","title":"Distance for a Point Pattern Matching","topics":["matchingdist"]},{"page":"Math.im","title":"S3 Group Generic methods for images","topics":["Complex.im","Math.im","Ops.im","Summary.im"]},{"page":"Math.imlist","title":"S3 Group Generic methods for List of Images","topics":["Complex.imlist","Math.imlist","Ops.imlist","Summary.imlist"]},{"page":"maxnndist","title":"Compute Minimum or Maximum Nearest-Neighbour Distance","topics":["maxnndist","minnndist"]},{"page":"mean.im","title":"Mean and Median of Pixel Values in an Image","topics":["mean.im","median.im"]},{"page":"mergeLevels","title":"Merge Levels of a Factor","topics":["mergeLevels"]},{"page":"methods.box3","title":"Methods for Three-Dimensional Box","topics":["methods.box3","print.box3","unitname.box3","unitname<-.box3"]},{"page":"methods.boxx","title":"Methods for Multi-Dimensional Box","topics":["methods.boxx","print.boxx","scale.boxx","unitname.boxx","unitname<-.boxx"]},{"page":"methods.distfun","title":"Geometrical Operations for Distance Functions","topics":["affine.distfun","flipxy.distfun","methods.distfun","reflect.distfun","rescale.distfun","rotate.distfun","scalardilate.distfun","shift.distfun"]},{"page":"methods.funxy","title":"Methods for Spatial Functions","topics":["contour.funxy","methods.funxy","persp.funxy","plot.funxy"]},{"page":"methods.layered","title":"Methods for Layered Objects","topics":["affine.layered","flipxy.layered","methods.layered","reflect.layered","rescale.layered","rotate.layered","scalardilate.layered","shift.layered"]},{"page":"methods.pp3","title":"Methods for three-dimensional point patterns","topics":["methods.pp3","print.pp3","print.summary.pp3","summary.pp3","unitname.pp3","unitname<-.pp3"]},{"page":"methods.ppx","title":"Methods for Multidimensional Space-Time Point Patterns","topics":["methods.ppx","plot.ppx","print.ppx","scale.ppx","unitname.ppx","unitname<-.ppx"]},{"page":"methods.unitname","title":"Methods for Units","topics":["compatible.unitname","harmonise.unitname","harmonize.unitname","methods.unitname","print.unitname","rescale.unitname","summary.unitname"]},{"page":"metric.object","title":"Distance Metric","topics":["metric.object"]},{"page":"midpoints.psp","title":"Midpoints of Line Segment Pattern","topics":["midpoints.psp"]},{"page":"MinkowskiSum","title":"Minkowski Sum of Windows","topics":["%(+)%","dilationAny","MinkowskiSum"]},{"page":"multiplicity.ppp","title":"Count Multiplicity of Duplicate Points","topics":["multiplicity","multiplicity.data.frame","multiplicity.default","multiplicity.ppp","multiplicity.ppx"]},{"page":"nearest.raster.point","title":"Find Pixel Nearest to a Given Point","topics":["nearest.raster.point"]},{"page":"nearestsegment","title":"Find Line Segment Nearest to Each Point","topics":["nearestsegment"]},{"page":"nearestValue","title":"Image of Nearest Defined Pixel Value","topics":["nearestValue"]},{"page":"nestsplit","title":"Nested Split","topics":["nestsplit"]},{"page":"nncross","title":"Nearest Neighbours Between Two Patterns","topics":["nncross","nncross.default","nncross.ppp"]},{"page":"nncross.pp3","title":"Nearest Neighbours Between Two Patterns in 3D","topics":["nncross.pp3"]},{"page":"nncross.ppx","title":"Nearest Neighbours Between Two Patterns in Any Dimensions","topics":["nncross.ppx"]},{"page":"nndist","title":"Nearest neighbour distances","topics":["nndist","nndist.default","nndist.ppp"]},{"page":"nndist.pp3","title":"Nearest neighbour distances in three dimensions","topics":["nndist.pp3"]},{"page":"nndist.ppx","title":"Nearest Neighbour Distances in Any Dimensions","topics":["nndist.ppx"]},{"page":"nndist.psp","title":"Nearest neighbour distances between line segments","topics":["nndist.psp"]},{"page":"nnfun","title":"Nearest Neighbour Index Map as a Function","topics":["nnfun","nnfun.ppp","nnfun.psp"]},{"page":"nnmap","title":"K-th Nearest Point Map","topics":["nnmap"]},{"page":"nnmark","title":"Mark of Nearest Neighbour","topics":["nnmark"]},{"page":"nnwhich","title":"Nearest neighbour","topics":["nnwhich","nnwhich.default","nnwhich.ppp"]},{"page":"nnwhich.pp3","title":"Nearest neighbours in three dimensions","topics":["nnwhich.pp3"]},{"page":"nnwhich.ppx","title":"Nearest Neighbours in Any Dimensions","topics":["nnwhich.ppx"]},{"page":"nobjects","title":"Count Number of Geometrical Objects in a Spatial Dataset","topics":["nobjects","nobjects.ppp","nobjects.ppx","nobjects.psp","nobjects.tess"]},{"page":"npoints","title":"Number of Points in a Point Pattern","topics":["npoints","npoints.pp3","npoints.ppp","npoints.ppx"]},{"page":"nsegments","title":"Number of Line Segments in a Line Segment Pattern","topics":["nsegments","nsegments.psp"]},{"page":"nvertices","title":"Count Number of Vertices","topics":["nvertices","nvertices.default","nvertices.owin"]},{"page":"opening","title":"Morphological Opening","topics":["opening","opening.owin","opening.ppp","opening.psp"]},{"page":"overlap.owin","title":"Compute Area of Overlap","topics":["overlap.owin"]},{"page":"owin","title":"Create a Window","topics":["owin"]},{"page":"owin.object","title":"Class owin","topics":["owin.object"]},{"page":"owin2mask","title":"Convert Window to Binary Mask under Constraints","topics":["owin2mask"]},{"page":"padimage","title":"Pad the Border of a Pixel Image","topics":["padimage"]},{"page":"pairdist","title":"Pairwise distances","topics":["pairdist"]},{"page":"pairdist.default","title":"Pairwise distances","topics":["pairdist.default"]},{"page":"pairdist.pp3","title":"Pairwise distances in Three Dimensions","topics":["pairdist.pp3"]},{"page":"pairdist.ppp","title":"Pairwise distances","topics":["pairdist.ppp"]},{"page":"pairdist.ppx","title":"Pairwise Distances in Any Dimensions","topics":["pairdist.ppx"]},{"page":"pairdist.psp","title":"Pairwise distances between line segments","topics":["pairdist.psp"]},{"page":"perimeter","title":"Perimeter Length of Window","topics":["perimeter"]},{"page":"periodify","title":"Make Periodic Copies of a Spatial Pattern","topics":["periodify","periodify.owin","periodify.ppp","periodify.psp"]},{"page":"persp.im","title":"Perspective Plot of Pixel Image","topics":["persp.im"]},{"page":"persp.ppp","title":"Perspective Plot of Marked Point Pattern","topics":["persp.ppp"]},{"page":"perspPoints","title":"Draw Points or Lines on a Surface Viewed in Perspective","topics":["perspContour","perspLines","perspPoints","perspSegments"]},{"page":"pHcolourmap","title":"Colour Map for pH Values","topics":["pHcolour","pHcolourmap"]},{"page":"pixelcentres","title":"Extract Pixel Centres as Point Pattern","topics":["pixelcentres"]},{"page":"pixellate","title":"Convert Spatial Object to Pixel Image","topics":["pixellate"]},{"page":"pixellate.owin","title":"Convert Window to Pixel Image","topics":["pixellate.owin"]},{"page":"pixellate.ppp","title":"Convert Point Pattern to Pixel Image","topics":["as.im.ppp","pixellate.ppp"]},{"page":"pixellate.psp","title":"Convert Line Segment Pattern to Pixel Image","topics":["pixellate.psp"]},{"page":"pixelquad","title":"Quadrature Scheme Based on Pixel Grid","topics":["pixelquad"]},{"page":"plot.anylist","title":"Plot a List of Things","topics":["plot.anylist"]},{"page":"plot.colourmap","title":"Plot a Colour Map","topics":["plot.colourmap"]},{"page":"plot.hyperframe","title":"Plot Entries in a Hyperframe","topics":["plot.hyperframe"]},{"page":"plot.im","title":"Plot a Pixel Image","topics":["image.im","plot.im"]},{"page":"plot.imlist","title":"Plot a List of Images","topics":["image.imlist","image.listof","plot.imlist"]},{"page":"plot.layered","title":"Layered Plot","topics":["plot.layered"]},{"page":"plot.listof","title":"Plot a List of Things","topics":["plot.listof"]},{"page":"plot.onearrow","title":"Plot an Arrow","topics":["plot.onearrow"]},{"page":"plot.owin","title":"Plot a Spatial Window","topics":["plot.owin"]},{"page":"plot.pp3","title":"Plot a Three-Dimensional Point Pattern","topics":["plot.pp3"]},{"page":"plot.ppp","title":"plot a Spatial Point Pattern","topics":["plot.ppp"]},{"page":"plot.pppmatching","title":"Plot a Point Matching","topics":["plot.pppmatching"]},{"page":"plot.psp","title":"plot a Spatial Line Segment Pattern","topics":["plot.psp"]},{"page":"plot.quad","title":"Plot a Spatial Quadrature Scheme","topics":["plot.quad"]},{"page":"plot.quadratcount","title":"Plot Quadrat Counts","topics":["plot.quadratcount"]},{"page":"plot.solist","title":"Plot a List of Spatial Objects","topics":["plot.solist"]},{"page":"plot.splitppp","title":"Plot a List of Point Patterns","topics":["plot.splitppp"]},{"page":"plot.symbolmap","title":"Plot a Graphics Symbol Map","topics":["plot.symbolmap"]},{"page":"plot.tess","title":"Plot a Tessellation","topics":["plot.tess"]},{"page":"plot.textstring","title":"Plot a Text String","topics":["plot.textstring"]},{"page":"plot.texturemap","title":"Plot a Texture Map","topics":["plot.texturemap"]},{"page":"plot.yardstick","title":"Plot a Yardstick or Scale Bar","topics":["plot.yardstick"]},{"page":"pointsOnLines","title":"Place Points Evenly Along Specified Lines","topics":["pointsOnLines"]},{"page":"polartess","title":"Tessellation Using Polar Coordinates","topics":["polartess"]},{"page":"pp3","title":"Three Dimensional Point Pattern","topics":["pp3"]},{"page":"ppp","title":"Create a Point Pattern","topics":["ppp"]},{"page":"ppp.object","title":"Class of Point Patterns","topics":["ppp.object"]},{"page":"pppdist","title":"Distance Between Two Point Patterns","topics":["pppdist"]},{"page":"pppmatching","title":"Create a Point Matching","topics":["pppmatching"]},{"page":"pppmatching.object","title":"Class of Point Matchings","topics":["pppmatching.object"]},{"page":"ppx","title":"Multidimensional Space-Time Point Pattern","topics":["ppx"]},{"page":"print.im","title":"Print Brief Details of an Image","topics":["print.im"]},{"page":"print.owin","title":"Print Brief Details of a Spatial Window","topics":["print.owin"]},{"page":"print.ppp","title":"Print Brief Details of a Point Pattern Dataset","topics":["print.ppp"]},{"page":"print.psp","title":"Print Brief Details of a Line Segment Pattern Dataset","topics":["print.psp"]},{"page":"print.quad","title":"Print a Quadrature Scheme","topics":["print.quad"]},{"page":"progressreport","title":"Print Progress Reports","topics":["progressreport"]},{"page":"project2segment","title":"Move Point To Nearest Line","topics":["project2segment"]},{"page":"project2set","title":"Find Nearest Point in a Region","topics":["project2set"]},{"page":"psp","title":"Create a Line Segment Pattern","topics":["psp"]},{"page":"psp.object","title":"Class of Line Segment Patterns","topics":["psp.object"]},{"page":"psp2mask","title":"Convert Line Segment Pattern to Binary Pixel Mask","topics":["as.mask.psp","psp2mask"]},{"page":"quad.object","title":"Class of Quadrature Schemes","topics":["quad.object"]},{"page":"quadratcount","title":"Quadrat counting for a point pattern","topics":["quadratcount","quadratcount.ppp","quadratcount.splitppp"]},{"page":"quadrats","title":"Divide Region into Quadrats","topics":["quadrats"]},{"page":"quadscheme","title":"Generate a Quadrature Scheme from a Point Pattern","topics":["quadscheme"]},{"page":"quadscheme.logi","title":"Generate a Logistic Regression Quadrature Scheme from a Point Pattern","topics":["quadscheme.logi"]},{"page":"quantess","title":"Quantile Tessellation","topics":["quantess","quantess.im","quantess.owin","quantess.ppp"]},{"page":"quantile.im","title":"Sample Quantiles of Pixel Image","topics":["quantile.im"]},{"page":"quantilefun.im","title":"Quantile Function for Images","topics":["quantilefun.im"]},{"page":"quasirandom","title":"Quasirandom Patterns","topics":["Halton","Hammersley","quasirandom","vdCorput"]},{"page":"raster.x","title":"Cartesian Coordinates for a Pixel Raster","topics":["raster.x","raster.xy","raster.y"]},{"page":"rectdistmap","title":"Distance Map Using Rectangular Distance Metric","topics":["rectdistmap"]},{"page":"reflect","title":"Reflect In Origin","topics":["reflect","reflect.default","reflect.im"]},{"page":"regularpolygon","title":"Create A Regular Polygon","topics":["hexagon","regularpolygon"]},{"page":"relevel.im","title":"Reorder Levels of a Factor-Valued Image or Pattern","topics":["relevel.im","relevel.ppp","relevel.ppx"]},{"page":"Replace.im","title":"Reset Values in Subset of Image","topics":["[<-.im"]},{"page":"requireversion","title":"Require a Specific Version of a Package","topics":["requireversion"]},{"page":"rescale","title":"Convert dataset to another unit of length","topics":["rescale"]},{"page":"rescale.im","title":"Convert Pixel Image to Another Unit of Length","topics":["rescale.im"]},{"page":"rescale.owin","title":"Convert Window to Another Unit of Length","topics":["rescale.owin"]},{"page":"rescale.ppp","title":"Convert Point Pattern to Another Unit of Length","topics":["rescale.ppp"]},{"page":"rescale.psp","title":"Convert Line Segment Pattern to Another Unit of Length","topics":["rescale.psp"]},{"page":"rescue.rectangle","title":"Convert Window Back To Rectangle","topics":["rescue.rectangle"]},{"page":"restrict.colourmap","title":"Restrict a Colour Map to a Subset of Values","topics":["restrict.colourmap"]},{"page":"rev.colourmap","title":"Reverse the Colours in a Colour Map","topics":["rev.colourmap"]},{"page":"rexplode","title":"Explode a Point Pattern by Displacing Duplicated Points","topics":["rexplode","rexplode.ppp"]},{"page":"rgbim","title":"Create Colour-Valued Pixel Image","topics":["hsvim","rgbim"]},{"page":"ripras","title":"Estimate window from points alone","topics":["ripras"]},{"page":"rjitter","title":"Random Perturbation of a Point Pattern","topics":["rjitter","rjitter.ppp"]},{"page":"rlinegrid","title":"Generate grid of parallel lines with random displacement","topics":["rlinegrid"]},{"page":"rotate","title":"Rotate","topics":["rotate"]},{"page":"rotate.im","title":"Rotate a Pixel Image","topics":["rotate.im"]},{"page":"rotate.infline","title":"Rotate or Shift Infinite Lines","topics":["flipxy.infline","reflect.infline","rotate.infline","shift.infline"]},{"page":"rotate.owin","title":"Rotate a Window","topics":["rotate.owin"]},{"page":"rotate.ppp","title":"Rotate a Point Pattern","topics":["rotate.ppp"]},{"page":"rotate.psp","title":"Rotate a Line Segment Pattern","topics":["rotate.psp"]},{"page":"round.ppp","title":"Apply Numerical Rounding to Spatial Coordinates","topics":["round.pp3","round.ppp","round.ppx"]},{"page":"rounding.ppp","title":"Detect Numerical Rounding","topics":["rounding.pp3","rounding.ppp","rounding.ppx"]},{"page":"rQuasi","title":"Generate Quasirandom Point Pattern in Given Window","topics":["rQuasi"]},{"page":"rsyst","title":"Simulate systematic random point pattern","topics":["rsyst"]},{"page":"run.simplepanel","title":"Run Point-and-Click Interface","topics":["clear.simplepanel","redraw.simplepanel","run.simplepanel"]},{"page":"runifrect","title":"Generate N Uniform Random Points in a Rectangle","topics":["runifrect"]},{"page":"scalardilate","title":"Apply Scalar Dilation","topics":["scalardilate","scalardilate.default","scalardilate.im","scalardilate.owin","scalardilate.ppp","scalardilate.psp"]},{"page":"scaletointerval","title":"Rescale Data to Lie Between Specified Limits","topics":["scaletointerval","scaletointerval.default","scaletointerval.im"]},{"page":"scanpp","title":"Read Point Pattern From Data File","topics":["scanpp"]},{"page":"selfcrossing.psp","title":"Crossing Points in a Line Segment Pattern","topics":["selfcrossing.psp"]},{"page":"selfcut.psp","title":"Cut Line Segments Where They Intersect","topics":["selfcut.psp"]},{"page":"sessionLibs","title":"Print Names and Version Numbers of Libraries Loaded","topics":["sessionLibs"]},{"page":"setcov","title":"Set Covariance of a Window","topics":["setcov"]},{"page":"shift","title":"Apply Vector Translation","topics":["shift"]},{"page":"shift.im","title":"Apply Vector Translation To Pixel Image","topics":["shift.im"]},{"page":"shift.owin","title":"Apply Vector Translation To Window","topics":["shift.owin"]},{"page":"shift.ppp","title":"Apply Vector Translation To Point Pattern","topics":["shift.ppp"]},{"page":"shift.ppx","title":"Apply Vector Translation To Box Or Point Pattern In Arbitrary Dimension","topics":["shift.boxx","shift.ppx"]},{"page":"shift.psp","title":"Apply Vector Translation To Line Segment Pattern","topics":["shift.psp"]},{"page":"sidelengths.owin","title":"Side Lengths of Enclosing Rectangle of a Window","topics":["shortside.owin","sidelengths.owin"]},{"page":"simplepanel","title":"Simple Point-and-Click Interface Panels","topics":["grow.simplepanel","simplepanel"]},{"page":"simplify.owin","title":"Approximate a Polygon by a Simpler Polygon","topics":["simplify.owin"]},{"page":"solapply","title":"Apply a Function Over a List and Obtain a List of Objects","topics":["anylapply","solapply"]},{"page":"solist","title":"List of Two-Dimensional Spatial Objects","topics":["solist"]},{"page":"solutionset","title":"Evaluate Logical Expression Involving Pixel Images and Return Region Where Expression is True","topics":["solutionset"]},{"page":"spatdim","title":"Spatial Dimension of a Dataset","topics":["spatdim"]},{"page":"spatstat.options","title":"Internal Options in Spatstat Package","topics":["reset.spatstat.options","spatstat.options"]},{"page":"split.hyperframe","title":"Divide Hyperframe Into Subsets and Reassemble","topics":["split.hyperframe","split<-.hyperframe"]},{"page":"split.im","title":"Divide Image Into Sub-images","topics":["split.im"]},{"page":"split.ppp","title":"Divide Point Pattern into Sub-patterns","topics":["split.ppp","split<-.ppp"]},{"page":"split.ppx","title":"Divide Multidimensional Point Pattern into Sub-patterns","topics":["split.ppx"]},{"page":"spokes","title":"Spokes pattern of dummy points","topics":["spokes"]},{"page":"square","title":"Square Window","topics":["square","unit.square"]},{"page":"stratrand","title":"Stratified random point pattern","topics":["stratrand"]},{"page":"subset.hyperframe","title":"Subset of Hyperframe Satisfying A Condition","topics":["subset.hyperframe"]},{"page":"subset.ppp","title":"Subset of Point Pattern Satisfying A Condition","topics":["subset.pp3","subset.ppp","subset.ppx"]},{"page":"subset.psp","title":"Subset of Line Segment Satisfying A Condition","topics":["subset.psp"]},{"page":"summary.anylist","title":"Summary of a List of Things","topics":["summary.anylist"]},{"page":"summary.distfun","title":"Summarizing a Function of Spatial Location","topics":["summary.distfun","summary.funxy"]},{"page":"summary.im","title":"Summarizing a Pixel Image","topics":["print.summary.im","summary.im"]},{"page":"summary.listof","title":"Summary of a List of Things","topics":["summary.listof"]},{"page":"summary.owin","title":"Summary of a Spatial Window","topics":["summary.owin"]},{"page":"summary.ppp","title":"Summary of a Point Pattern Dataset","topics":["summary.ppp"]},{"page":"summary.psp","title":"Summary of a Line Segment Pattern Dataset","topics":["summary.psp"]},{"page":"summary.quad","title":"Summarizing a Quadrature Scheme","topics":["print.summary.quad","summary.quad"]},{"page":"summary.solist","title":"Summary of a List of Spatial Objects","topics":["summary.solist"]},{"page":"summary.splitppp","title":"Summary of a Split Point Pattern","topics":["summary.splitppp"]},{"page":"superimpose","title":"Superimpose Several Geometric Patterns","topics":["superimpose","superimpose.default","superimpose.ppp","superimpose.ppplist","superimpose.psp","superimpose.splitppp"]},{"page":"symbolmap","title":"Graphics Symbol Map","topics":["symbolmap"]},{"page":"tess","title":"Create a Tessellation","topics":["tess"]},{"page":"test.crossing.psp","title":"Check Whether Segments Cross","topics":["test.crossing.psp","test.selfcrossing.psp"]},{"page":"text.ppp","title":"Add Text Labels to Spatial Pattern","topics":["text.ppp","text.psp"]},{"page":"texturemap","title":"Texture Map","topics":["texturemap"]},{"page":"textureplot","title":"Plot Image or Tessellation Using Texture Fill","topics":["textureplot"]},{"page":"tile.areas","title":"Compute Areas of Tiles in a Tessellation","topics":["tile.areas"]},{"page":"tileindex","title":"Determine Which Tile Contains Each Given Point","topics":["tileindex"]},{"page":"tilenames","title":"Names of Tiles in a Tessellation","topics":["tilenames","tilenames.tess","tilenames<-","tilenames<-.tess"]},{"page":"tiles","title":"Extract List of Tiles in a Tessellation","topics":["tiles"]},{"page":"tiles.empty","title":"Check For Empty Tiles in a Tessellation","topics":["tiles.empty"]},{"page":"timed","title":"Record the Computation Time","topics":["timed"]},{"page":"timeTaken","title":"Extract the Total Computation Time","topics":["timeTaken"]},{"page":"transmat","title":"Convert Pixel Array Between Different Conventions","topics":["transmat"]},{"page":"triangulate.owin","title":"Decompose Window into Triangles","topics":["triangulate.owin"]},{"page":"trim.rectangle","title":"Cut margins from rectangle","topics":["trim.rectangle"]},{"page":"tweak.colourmap","title":"Change Colour Values in a Colour Map","topics":["tweak.colourmap"]},{"page":"union.quad","title":"Union of Data and Dummy Points","topics":["union.quad"]},{"page":"unique.ppp","title":"Extract Unique Points from a Spatial Point Pattern","topics":["unique.ppp","unique.ppx"]},{"page":"uniquemap.ppp","title":"Map Duplicate Entries to Unique Entries","topics":["uniquemap.lpp","uniquemap.ppp","uniquemap.ppx"]},{"page":"unitname","title":"Name for Unit of Length","topics":["unitname","unitname.im","unitname.owin","unitname.ppp","unitname.psp","unitname.quad","unitname.tess","unitname<-","unitname<-.im","unitname<-.owin","unitname<-.ppp","unitname<-.psp","unitname<-.quad","unitname<-.tess"]},{"page":"unmark","title":"Remove Marks","topics":["unmark","unmark.ppp","unmark.ppx","unmark.psp","unmark.splitppp"]},{"page":"unstack.ppp","title":"Separate Multiple Columns of Marks","topics":["unstack.ppp","unstack.psp","unstack.tess"]},{"page":"unstack.solist","title":"Unstack Each Spatial Object in a List of Objects","topics":["unstack.layered","unstack.solist"]},{"page":"update.symbolmap","title":"Update a Graphics Symbol Map.","topics":["update.symbolmap"]},{"page":"venn.tess","title":"Tessellation Delimited by Several Sets","topics":["venn.tess"]},{"page":"vertices","title":"Vertices of a Window","topics":["vertices","vertices.owin"]},{"page":"volume","title":"Volume of an Object","topics":["volume"]},{"page":"where.max","title":"Find Location of Maximum in a Pixel Image","topics":["where.max","where.min"]},{"page":"whichhalfplane","title":"Test Which Side of Infinite Line a Point Falls On","topics":["whichhalfplane"]},{"page":"Window","title":"Extract or Change the Window of a Spatial Object","topics":["Window","Window.im","Window.ppp","Window.psp","Window.quad","Window<-","Window<-.im","Window<-.ppp","Window<-.psp","Window<-.quad"]},{"page":"Window.tess","title":"Extract Window of Spatial Object","topics":["Window.distfun","Window.funxy","Window.layered","Window.nnfun","Window.quadratcount","Window.tess"]},{"page":"with.hyperframe","title":"Evaluate an Expression in Each Row of a Hyperframe","topics":["with.hyperframe"]},{"page":"yardstick","title":"Text, Arrow or Scale Bar in a Diagram","topics":["onearrow","textstring","yardstick"]},{"page":"zapsmall.im","title":"Rounding of Pixel Values","topics":["zapsmall.im"]}],"_readme":"https://github.com/spatstat/spatstat.geom/raw/HEAD/README.md","_rundeps":["deldir","lattice","Matrix","polyclip","spatstat.data","spatstat.univar","spatstat.utils"],"_score":11.98119234320078,"_indexed":true,"_nocasepkg":"spatstat.geom","_universes":["spatstat","baddstats"],"_binaries":[]}
{"Package":"spatstat.explore","Version":"3.3-3.001","Date":"2024-12-27","Title":"Exploratory Data Analysis for the 'spatstat' Family","Authors@R":"c(person(\"Adrian\", \"Baddeley\", \nrole = c(\"aut\", \"cre\", \"cph\"),\nemail = \"Adrian.Baddeley@curtin.edu.au\",\ncomment = c(ORCID=\"0000-0001-9499-8382\")),\nperson(\"Rolf\", \"Turner\",\nrole = c(\"aut\", \"cph\"),\nemail=\"rolfturner@posteo.net\",\ncomment=c(ORCID=\"0000-0001-5521-5218\")),\nperson(\"Ege\",   \"Rubak\",\nrole = c(\"aut\", \"cph\"),\nemail = \"rubak@math.aau.dk\",\ncomment=c(ORCID=\"0000-0002-6675-533X\")),\nperson(\"Kasper\", \"Klitgaard Berthelsen\",\nrole = \"ctb\"),\nperson(\"Warick\", \"Brown\",\nrole = \"cph\"),\nperson(\"Achmad\", \"Choiruddin\",\nrole = \"ctb\"),\nperson(\"Jean-Francois\", \"Coeurjolly\",\nrole = \"ctb\"),\nperson(\"Ottmar\", \"Cronie\",\nrole = \"ctb\"),\nperson(\"Tilman\", \"Davies\",\nrole = c(\"ctb\", \"cph\")),\nperson(\"Julian\", \"Gilbey\",\nrole = \"ctb\"),\nperson(\"Jonatan\", \"Gonzalez\",\nrole = \"ctb\"),\nperson(\"Yongtao\", \"Guan\",\nrole = \"ctb\"),\nperson(\"Ute\", \"Hahn\",\nrole = \"ctb\"),\nperson(\"Kassel\", \"Hingee\",\nrole = c(\"ctb\", \"cph\")),\nperson(\"Abdollah\", \"Jalilian\",\nrole = \"ctb\"),\nperson(\"Frederic\", \"Lavancier\",\nrole = \"ctb\"),\nperson(\"Marie-Colette\", \"van Lieshout\",\nrole = c(\"ctb\", \"cph\")),\nperson(\"Greg\", \"McSwiggan\",\nrole = \"ctb\"),\nperson(\"Robin K\", \"Milne\",\nrole = \"cph\"),\nperson(\"Tuomas\", \"Rajala\",\nrole = \"ctb\"),\nperson(\"Suman\", \"Rakshit\",\nrole = c(\"ctb\", \"cph\")),\nperson(\"Dominic\", \"Schuhmacher\",\nrole = \"ctb\"),\nperson(\"Rasmus\", \"Plenge Waagepetersen\",\nrole = \"ctb\"),\nperson(\"Hangsheng\", \"Wang\",\nrole = \"ctb\"))","Maintainer":"Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>","Description":"Functionality for exploratory data analysis and\nnonparametric analysis of spatial data, mainly spatial point\npatterns, in the 'spatstat' family of packages. (Excludes\nanalysis of spatial data on a linear network, which is covered\nby the separate package 'spatstat.linnet'.) Methods include\nquadrat counts, K-functions and their simulation envelopes,\nnearest neighbour distance and empty space statistics, Fry\nplots, pair correlation function, kernel smoothed intensity,\nrelative risk estimation with cross-validated bandwidth\nselection, mark correlation functions, segregation indices,\nmark dependence diagnostics, and kernel estimates of covariate\neffects. Formal hypothesis tests of random pattern\n(chi-squared, Kolmogorov-Smirnov, Monte Carlo,\nDiggle-Cressie-Loosmore-Ford, Dao-Genton, two-stage Monte\nCarlo) and tests for covariate effects\n(Cox-Berman-Waller-Lawson, Kolmogorov-Smirnov, ANOVA) are also\nsupported.","License":"GPL (>= 2)","URL":"http://spatstat.org/","NeedsCompilation":"yes","ByteCompile":"true","BugReports":"https://github.com/spatstat/spatstat.explore/issues","Repository":"https://spatstat.r-universe.dev","RemoteUrl":"https://github.com/spatstat/spatstat.explore","RemoteRef":"HEAD","RemoteSha":"e69742955558ca4e2ecefd5b31476a213ecbd8aa","Packaged":{"Date":"2024-12-27 08:43:04 UTC","User":"root"},"Author":"Adrian Baddeley [aut, cre, cph]\n(<https://orcid.org/0000-0001-9499-8382>),\nRolf Turner [aut, cph] (<https://orcid.org/0000-0001-5521-5218>),\nEge Rubak [aut, cph] (<https://orcid.org/0000-0002-6675-533X>),\nKasper Klitgaard Berthelsen [ctb],\nWarick Brown [cph],\nAchmad Choiruddin [ctb],\nJean-Francois Coeurjolly [ctb],\nOttmar Cronie [ctb],\nTilman Davies [ctb, cph],\nJulian Gilbey [ctb],\nJonatan Gonzalez [ctb],\nYongtao Guan [ctb],\nUte Hahn [ctb],\nKassel Hingee [ctb, cph],\nAbdollah Jalilian [ctb],\nFrederic Lavancier [ctb],\nMarie-Colette van Lieshout [ctb, cph],\nGreg McSwiggan [ctb],\nRobin K Milne [cph],\nTuomas Rajala [ctb],\nSuman Rakshit [ctb, cph],\nDominic Schuhmacher [ctb],\nRasmus Plenge Waagepetersen [ctb],\nHangsheng Wang [ctb]","MD5sum":"3d706ec1550349261faef672f425322b","_user":"spatstat","_type":"src","_file":"spatstat.explore_3.3-3.001.tar.gz","_fileid":"458d684d5a85677c90578a3422b4168d495c02a23bbcc36c120a7cc32c95aa7a","_filesize":2609721,"_sha256":"458d684d5a85677c90578a3422b4168d495c02a23bbcc36c120a7cc32c95aa7a","_created":"2024-12-27T08:43:04.000Z","_published":"2024-12-27T08:49:18.702Z","_upstream":"https://github.com/spatstat/spatstat.explore","_commit":{"id":"e69742955558ca4e2ecefd5b31476a213ecbd8aa","author":"Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>","committer":"Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>","message":"Extension to reload.and.compute\n","time":1735288626},"_maintainer":{"name":"Adrian Baddeley","email":"adrian.baddeley@curtin.edu.au","login":"baddstats","uuid":7161794,"orcid":"0000-0001-9499-8382"},"_distro":"noble","_host":"GitHub-Actions","_status":"success","_pkgdocs":"skipped","_winbinary":"success","_macbinary":"success","_wasmbinary":"none","_linuxdevel":"success","_windevel":"success","_buildurl":"https://github.com/r-universe/spatstat/actions/runs/12513911928","_registered":true,"_dependencies":[{"package":"R","version":">= 3.5.0","role":"Depends"},{"package":"spatstat.data","version":">= 3.1-2","role":"Depends"},{"package":"spatstat.univar","version":">= 3.0-0","role":"Depends"},{"package":"spatstat.geom","version":">= 3.3-2","role":"Depends"},{"package":"spatstat.random","version":">= 3.3-1","role":"Depends"},{"package":"stats","role":"Depends"},{"package":"graphics","role":"Depends"},{"package":"grDevices","role":"Depends"},{"package":"utils","role":"Depends"},{"package":"methods","role":"Depends"},{"package":"nlme","role":"Depends"},{"package":"spatstat.utils","version":">= 3.1-0","role":"Imports"},{"package":"spatstat.sparse","version":">= 3.1-0","role":"Imports"},{"package":"goftest","version":">= 1.2-2","role":"Imports"},{"package":"Matrix","role":"Imports"},{"package":"abind","role":"Imports"},{"package":"sm","role":"Suggests"},{"package":"gsl","role":"Suggests"},{"package":"locfit","role":"Suggests"},{"package":"spatial","role":"Suggests"},{"package":"fftwtools","version":">= 0.9-8","role":"Suggests"},{"package":"spatstat.linnet","version":">= 3.2-1","role":"Suggests"},{"package":"spatstat.model","version":">= 3.3-1","role":"Suggests"},{"package":"spatstat","version":">= 3.1-1","role":"Suggests"}],"_owner":"spatstat","_selfowned":true,"_usedby":141,"_updates":[{"week":"2024-02","n":1},{"week":"2024-03","n":2},{"week":"2024-05","n":5},{"week":"2024-06","n":1},{"week":"2024-12","n":1},{"week":"2024-14","n":2},{"week":"2024-16","n":2},{"week":"2024-23","n":3},{"week":"2024-24","n":2},{"week":"2024-25","n":2},{"week":"2024-26","n":1},{"week":"2024-27","n":1},{"week":"2024-28","n":1},{"week":"2024-30","n":1},{"week":"2024-31","n":2},{"week":"2024-34","n":1},{"week":"2024-36","n":1},{"week":"2024-40","n":1},{"week":"2024-43","n":1},{"week":"2024-52","n":1}],"_tags":[{"name":"v3.3-3","date":"2024-10-22"}],"_topics":["cluster-detection","confidence-intervals","hypothesis-testing","k-function","roc-curves","scan-statistics","significance-testing","simulation-envelopes","spatial-analysis","spatial-data-analysis","spatial-sharpening","spatial-smoothing","spatial-statistics"],"_stars":1,"_contributions":{"baddstats":166,"rubak":1},"_userbio":{"uuid":8414375,"type":"organization","name":"The Spatstat Team"},"_downloads":{"count":42453,"source":"https://cranlogs.r-pkg.org/downloads/total/last-month/spatstat.explore"},"_mentions":172,"_devurl":"https://github.com/spatstat/spatstat.explore","_searchresults":63,"_assets":["extra/citation.cff","extra/citation.html","extra/citation.json","extra/citation.txt","extra/contents.json","extra/NEWS.html","extra/NEWS.txt","extra/readme.html","extra/readme.md","extra/spatstat.explore.html","manual.pdf"],"_homeurl":"https://github.com/spatstat/spatstat.explore","_realowner":"spatstat","_cranurl":true,"_releases":[{"version":"3.0-3","date":"2022-11-04"},{"version":"3.0-5","date":"2022-11-10"},{"version":"3.0-6","date":"2023-01-27"},{"version":"3.1-0","date":"2023-03-14"},{"version":"3.2-1","date":"2023-05-13"},{"version":"3.2-3","date":"2023-09-07"},{"version":"3.2-5","date":"2023-10-23"},{"version":"3.2-6","date":"2024-02-01"},{"version":"3.2-7","date":"2024-03-21"},{"version":"3.3-1","date":"2024-07-15"},{"version":"3.3-2","date":"2024-08-21"},{"version":"3.3-3","date":"2024-10-22"}],"_exports":["[.fasp","[.fv","[.localpcfmatrix","[.rat","[.ssf","[<-.fv","$<-.fv","adaptive.density","adjust.ratfv","allstats","alltypes","ang2rad","apply.ssf","as.data.frame.bw.optim","as.data.frame.envelope","as.data.frame.fv","as.function.fv","as.function.rhohat","as.function.ssf","as.fv","as.fv.bw.optim","as.fv.data.frame","as.fv.fasp","as.fv.fv","as.fv.matrix","as.im.scan.test","as.im.ssf","as.owin.quadrattest","as.ppp.ssf","as.tess.quadrattest","assemble.plot.objects","auc","auc.ppp","bandwidth.is.infinite","BartCalc","berman.test","berman.test.ppp","bermantestCalc","bermantestEngine","bind.fv","bind.ratfv","bits.envelope","bits.test","blur","blurHeat","blurHeat.im","boyce","bw.abram.ppp","bw.CvL","bw.CvL.adaptive","bw.CvLHeat","bw.diggle","bw.frac","bw.optim","bw.pcf","bw.ppl","bw.pplHeat","bw.relrisk","bw.relrisk.ppp","bw.relriskHeatppp","bw.scott","bw.scott.iso","bw.smoothppp","bw.stoyan","calc.DR","calc.NNIR","calc.SAVE","calc.SIR","calc.TSE","cbind.fv","cdf.test","cdf.test.ppp","censtimeCDFest","check.testfun","circdensity","circticks","clarkevans","clarkevans.test","clarkevansCalc","clusterset","collapse.anylist","collapse.fv","compatible.fasp","compatible.fv","compatible.rat","compileCDF","compileK","compilepcf","Complex.fasp","Complex.fv","conform.ratfv","contour.ssf","cor.im","cov.im","CressieReadName","CressieReadStatistic","CressieReadSymbol","cutoff2Dkernel","CVforPCF","dclf.progress","dclf.sigtrace","dclf.test","density.ppp","density.ppplist","density.psp","density.splitppp","densityAdaptiveKernel.ppp","densityAdaptiveKernel.ppplist","densityAdaptiveKernel.splitppp","densitycrossEngine","densityfun","densityfun.ppp","densityHeat","densityHeat.ppp","densitypointsEngine","densityVoronoi","densityVoronoi.ppp","deriv.fv","Deviation","dg.envelope","dg.progress","dg.sigtrace","dg.test","digestCovariates","digital.volume","dim.fasp","dimhat","dimnames.fasp","dimnames<-.fasp","distcdf","distributecbind","domain.quadrattest","edge.Ripley","edge.Trans","Emark","ensure.listarg","envelope","envelope.envelope","envelope.hasenvelope","envelope.matrix","envelope.pp3","envelope.ppp","envelopeArray","envelopeEngine","envelopeProgressData","envelopeTest","eval.fasp","eval.fv","evalCovar","evaluate2Dkernel","evaluateCovariate","evaluateCovariateAtPixels","evaluateCovariateAtPoints","exactppm","ExpSmoothLog","extractAtomicQtests","f3Cengine","f3engine","F3est","fasp","Fest","Fhazard","findbestlegendpos","findcbind","Finhom","flatfname","Fmulti.inhom","FmultiInhom","FormatFaspFormulae","formula.fv","formula<-","formula<-.fv","fryplot","frypoints","fv","fvexprmap","fvlabelmap","fvlabels","fvlabels<-","fvlegend","fvnames","fvnames<-","g3Cengine","g3engine","G3est","Gcross","Gcross.inhom","Gdot","Gdot.inhom","Gest","getSumFun","Gfox","Ginhom","Gmulti","Gmulti.inhom","GmultiInhom","good.correction.K","harmonise.fv","harmonize.fv","hasenvelope","Hest","hopskel","hopskel.test","hotbox","idw","Iest","image.ssf","implemented.for.K","increment.fv","integral.fv","integral.ssf","is.atomicQtest","is.poisson.exactppm","is.scov","is.stationary.exactppm","Jcross","Jcross.inhom","Jdot","Jdot.inhom","Jest","Jfox","Jinhom","Jmulti","Jmulti.inhom","k3engine","K3est","Kborder.engine","Kcross","Kcross.inhom","Kdot","Kdot.inhom","Kest","Kest.fft","Kinhom","Kmark","Kmeasure","Kmulti","Kmulti.inhom","Knone.engine","Kount","Krect.engine","Kscaled","Ksector","Kwtsum","laslett","Lcross","Lcross.inhom","Ldot","Ldot.inhom","Lest","Linhom","localK","localKcross","localKcross.inhom","localKdot","localKengine","localKinhom","localKmultiEngine","localL","localLcross","localLcross.inhom","localLdot","localLinhom","localpcf","localpcfengine","localpcfinhom","localpcfmatrix","lohboot","lookup2DkernelInfo","Lscaled","mad.progress","mad.sigtrace","mad.test","makefvlabel","markconnect","markcorr","markcorrint","markcrosscorr","markmarkscatter","markmean","marks.ssf","marks<-.ssf","marktable","markvar","markvario","maskLaslett","match2DkernelName","Math.fasp","Math.fv","max.ssf","mctest.progress","mctest.sigtrace","mctestSigtraceEngine","meanlistfv","min.ssf","miplot","names<-.fv","nearest.neighbour","nnclean","nnclean.pp3","nnclean.ppp","nncleanEngine","nncorr","nndensity","nndensity.ppp","nnmean","nnorient","nnvario","Ops.fasp","Ops.fv","pairMean","pairorient","pairs.im","pairs.listof","pairs.solist","panel.contour","panel.histogram","panel.image","pcf","pcf.fasp","pcf.fv","pcf.ppp","pcf3engine","pcf3est","pcfcross","pcfcross.inhom","pcfdot","pcfdot.inhom","pcfinhom","pcfmulti","pcfmulti.inhom","plot.bermantest","plot.bw.frac","plot.bw.optim","plot.cdftest","plot.envelope","plot.fasp","plot.fv","plot.laslett","plot.localpcfmatrix","plot.plotpairsim","plot.quadrattest","plot.rho2hat","plot.rhohat","plot.scan.test","plot.spatialcdf","plot.ssf","plot.studpermutest","polyLaslett","pool","pool.anylist","pool.envelope","pool.fasp","pool.fv","pool.quadrattest","pool.rat","PPversion","predict.exactppm","predict.rho2hat","predict.rhohat","prefixfv","print.bw.frac","print.bw.optim","print.densityfun","print.envelope","print.exactppm","print.fasp","print.fv","print.fvfun","print.hasenvelope","print.laslett","print.localpcfmatrix","print.plotpairsim","print.quadrattest","print.rat","print.rho2hat","print.rhohat","print.Smoothfun","print.ssf","print.summary.bw.optim","print.summary.ssf","QQversion","quadrat.test","quadrat.test.ppp","quadrat.test.quadratcount","quadrat.test.splitppp","quadrat.testEngine","radcumint","range.ssf","rat","ratfv","rebadge.as.crossfun","rebadge.as.dotfun","rebadge.fv","rebadgeLabels","reconcile.fv","rectcontact","RelevantDeviation","reload.or.compute","relrisk","relrisk.ppp","relriskHeat","relriskHeat.ppp","rename.fv","resolve.2D.kernel","resolve.foxall.window","resolve.lambda","resolve.lambda.ppp","resolve.lambdacross","resolve.lambdacross.ppp","resolve.reciplambda","resolve.reciplambda.ppp","resolveEinfo","rho2hat","rhohat","rhohat.ppp","rhohat.quad","rhohatCalc","rhohatEngine","rmax.Rigid","rmax.Ripley","rmax.rule","rmax.Trans","roc","roc.ppp","rocData","rocModel","rose","rose.default","rose.density","rose.fv","rose.histogram","roseContinuous","rotmean","scan.test","scanBinomLRTS","scanLRTS","scanmeasure","scanmeasure.im","scanmeasure.ppp","scanPoisLRTS","sdr","sdr.ppp","sdrPredict","second.moment.calc","second.moment.engine","segregation.test","segregation.test.ppp","sewpcf","sewsmod","sharpen","sharpen.ppp","shift.quadrattest","simulate.rhohat","simulrecipe","Smooth","Smooth.fv","Smooth.im","Smooth.ppp","Smooth.solist","Smooth.ssf","smoothcrossEngine","Smoothfun","Smoothfun.ppp","SmoothHeat","SmoothHeat.im","SmoothHeat.ppp","smoothpointsEngine","spatcov","spatialcdf","spatialCDFframe","spatialCDFtest","spatialCDFtestCalc","spatialCovariateEvidence","spatialCovariateEvidence.exactppm","spatialCovariateEvidence.ppp","SpatialMedian","SpatialMedian.ppp","SpatialQuantile","SpatialQuantile.ppp","sphere.volume","ssf","StieltjesCalc.fv","stienen","stienenSet","studpermu.test","subspaceDistance","summary.bw.optim","summary.envelope","Summary.fasp","Summary.fv","summary.ssf","thresholdCI","thresholdSelect","transect.im","Tstat","tweak.fv.entry","tweak.ratfv.entry","twostage.envelope","twostage.test","unmark.ssf","updateData","updateData.default","validate.angles","validate.weights","validate2Dkernel","vanilla.fv","varblock","Vmark","weightedclosepairs","which.max.im","Window.quadrattest","with.fv","with.ssf","X2testEngine"],"_help":[{"page":"spatstat.explore-package","title":"The spatstat.explore Package","topics":["spatstat.explore-package","spatstat.explore"]},{"page":"Extract.ssf","title":"Subset of spatially sampled function","topics":["[.ssf"]},{"page":"adaptive.density","title":"Adaptive Estimate of Intensity of Point Pattern","topics":["adaptive.density"]},{"page":"allstats","title":"Calculate four standard summary functions of a point pattern.","topics":["allstats"]},{"page":"alltypes","title":"Calculate Summary Statistic for All Types in a Multitype Point Pattern","topics":["alltypes"]},{"page":"as.data.frame.envelope","title":"Coerce Envelope to Data Frame","topics":["as.data.frame.envelope"]},{"page":"as.function.fv","title":"Convert Function Value Table to Function","topics":["as.function.fv"]},{"page":"as.function.rhohat","title":"Convert Function Table to Function","topics":["as.function.rhohat"]},{"page":"as.fv","title":"Convert Data To Class fv","topics":["as.fv","as.fv.bw.optim","as.fv.data.frame","as.fv.fasp","as.fv.fv","as.fv.matrix"]},{"page":"as.owin.quadrattest","title":"Convert Data To Class owin","topics":["as.owin.quadrattest"]},{"page":"as.tess","title":"Convert Data To Tessellation","topics":["as.tess.quadrattest"]},{"page":"auc","title":"Area Under ROC Curve","topics":["auc","auc.ppp"]},{"page":"berman.test","title":"Berman's Tests for Point Process Model","topics":["berman.test","berman.test.ppp"]},{"page":"bind.fv","title":"Combine Function Value Tables","topics":["bind.fv","cbind.fv"]},{"page":"bits.envelope","title":"Global Envelopes for Balanced Independent Two-Stage Test","topics":["bits.envelope"]},{"page":"bits.test","title":"Balanced Independent Two-Stage Monte Carlo Test","topics":["bits.test"]},{"page":"blur","title":"Apply Gaussian Blur to a Pixel Image","topics":["blur","Smooth.im"]},{"page":"blurHeat","title":"Diffusion Blur","topics":["blurHeat","blurHeat.im","SmoothHeat.im"]},{"page":"boyce","title":"Boyce Index","topics":["boyce"]},{"page":"bw.abram.ppp","title":"Abramson's Adaptive Bandwidths For Spatial Point Pattern","topics":["bw.abram.ppp"]},{"page":"bw.CvL","title":"Cronie and van Lieshout's Criterion for Bandwidth Selection for Kernel Density","topics":["bw.CvL"]},{"page":"bw.CvL.adaptive","title":"Select Adaptive Bandwidth for Kernel Estimation Using Cronie-Van Lieshout Criterion","topics":["bw.CvL.adaptive"]},{"page":"bw.CvLHeat","title":"Bandwidth Selection for Diffusion Smoother by Cronie-van Lieshout Rule","topics":["bw.CvLHeat"]},{"page":"bw.diggle","title":"Cross Validated Bandwidth Selection for Kernel Density","topics":["bw.diggle"]},{"page":"bw.frac","title":"Bandwidth Selection Based on Window Geometry","topics":["bw.frac"]},{"page":"bw.optim.object","title":"Class of Optimized Bandwidths","topics":["bw.optim.object"]},{"page":"bw.pcf","title":"Cross Validated Bandwidth Selection for Pair Correlation Function","topics":["bw.pcf"]},{"page":"bw.ppl","title":"Likelihood Cross Validation Bandwidth Selection for Kernel Density","topics":["bw.ppl"]},{"page":"bw.pplHeat","title":"Bandwidth Selection for Diffusion Smoother by Likelihood Cross-Validation","topics":["bw.pplHeat"]},{"page":"bw.relrisk","title":"Cross Validated Bandwidth Selection for Relative Risk Estimation","topics":["bw.relrisk","bw.relrisk.ppp"]},{"page":"bw.relriskHeatppp","title":"Bandwidth Selection for Relative Risk using Diffusion","topics":["bw.relriskHeatppp"]},{"page":"bw.scott","title":"Scott's Rule for Bandwidth Selection for Kernel Density","topics":["bw.scott","bw.scott.iso"]},{"page":"bw.smoothppp","title":"Cross Validated Bandwidth Selection for Spatial Smoothing","topics":["bw.smoothppp"]},{"page":"bw.stoyan","title":"Stoyan's Rule of Thumb for Bandwidth Selection","topics":["bw.stoyan"]},{"page":"cdf.test","title":"Spatial Distribution Test for Point Pattern or Point Process Model","topics":["cdf.test","cdf.test.ppp"]},{"page":"circdensity","title":"Density Estimation for Circular Data","topics":["circdensity"]},{"page":"clarkevans","title":"Clark and Evans Aggregation Index","topics":["clarkevans"]},{"page":"clarkevans.test","title":"Clark and Evans Test","topics":["clarkevans.test"]},{"page":"clusterset","title":"Allard-Fraley Estimator of Cluster Feature","topics":["clusterset"]},{"page":"collapse.fv","title":"Collapse Several Function Tables into One","topics":["collapse.anylist","collapse.fv"]},{"page":"compatible.fasp","title":"Test Whether Function Arrays Are Compatible","topics":["compatible.fasp"]},{"page":"compatible.fv","title":"Test Whether Function Objects Are Compatible","topics":["compatible.fv"]},{"page":"compileCDF","title":"Generic Calculation of Cumulative Distribution Function of Distances","topics":["compileCDF"]},{"page":"compileK","title":"Generic Calculation of K Function and Pair Correlation Function","topics":["compileK","compilepcf"]},{"page":"cov.im","title":"Covariance and Correlation between Images","topics":["cor.im","cov.im"]},{"page":"dclf.progress","title":"Progress Plot of Test of Spatial Pattern","topics":["dclf.progress","mad.progress","mctest.progress"]},{"page":"dclf.sigtrace","title":"Significance Trace of Cressie-Loosmore-Ford or Maximum Absolute Deviation Test","topics":["dclf.sigtrace","mad.sigtrace","mctest.sigtrace"]},{"page":"dclf.test","title":"Diggle-Cressie-Loosmore-Ford and Maximum Absolute Deviation Tests","topics":["dclf.test","mad.test"]},{"page":"density.ppp","title":"Kernel Smoothed Intensity of Point Pattern","topics":["density.ppp"]},{"page":"density.psp","title":"Kernel Smoothing of Line Segment Pattern","topics":["density.psp"]},{"page":"density.splitppp","title":"Kernel Smoothed Intensity of Split Point Pattern","topics":["density.ppplist","density.splitppp"]},{"page":"densityAdaptiveKernel.ppp","title":"Adaptive Kernel Estimate of Intensity of Point Pattern","topics":["densityAdaptiveKernel.ppp"]},{"page":"densityAdaptiveKernel.splitppp","title":"Adaptive Kernel Estimate of Intensity for Split Point Pattern","topics":["densityAdaptiveKernel.ppplist","densityAdaptiveKernel.splitppp"]},{"page":"densityfun","title":"Kernel Estimate of Intensity as a Spatial Function","topics":["densityfun","densityfun.ppp"]},{"page":"densityHeat","title":"Diffusion Estimate of Point Pattern Intensity","topics":["densityHeat"]},{"page":"densityHeat.ppp","title":"Diffusion Estimate of Point Pattern Intensity","topics":["densityHeat.ppp"]},{"page":"densityVoronoi","title":"Intensity Estimate of Point Pattern Using Voronoi-Dirichlet Tessellation","topics":["densityVoronoi","densityVoronoi.ppp"]},{"page":"deriv.fv","title":"Calculate Derivative of Function Values","topics":["deriv.fv"]},{"page":"dg.envelope","title":"Global Envelopes for Dao-Genton Test","topics":["dg.envelope"]},{"page":"dg.progress","title":"Progress Plot of Dao-Genton Test of Spatial Pattern","topics":["dg.progress"]},{"page":"dg.sigtrace","title":"Significance Trace of Dao-Genton Test","topics":["dg.sigtrace"]},{"page":"dg.test","title":"Dao-Genton Adjusted Goodness-Of-Fit Test","topics":["dg.test"]},{"page":"dimhat","title":"Estimate Dimension of Central Subspace","topics":["dimhat"]},{"page":"distcdf","title":"Distribution Function of Interpoint Distance","topics":["distcdf"]},{"page":"domain.quadrattest","title":"Extract the Domain of any Spatial Object","topics":["domain.quadrattest"]},{"page":"edge.Ripley","title":"Ripley's Isotropic Edge Correction","topics":["edge.Ripley","rmax.Ripley"]},{"page":"edge.Trans","title":"Translation Edge Correction","topics":["edge.Trans","rmax.Trans"]},{"page":"Emark","title":"Diagnostics for random marking","topics":["Emark","Vmark"]},{"page":"envelope","title":"Simulation Envelopes of Summary Function","topics":["envelope","envelope.ppp"]},{"page":"envelope.envelope","title":"Recompute Envelopes","topics":["envelope.envelope"]},{"page":"envelope.pp3","title":"Simulation Envelopes of Summary Function for 3D Point Pattern","topics":["envelope.pp3"]},{"page":"envelopeArray","title":"Array of Simulation Envelopes of Summary Function","topics":["envelopeArray"]},{"page":"eval.fasp","title":"Evaluate Expression Involving Function Arrays","topics":["eval.fasp"]},{"page":"eval.fv","title":"Evaluate Expression Involving Functions","topics":["eval.fv"]},{"page":"Extract.fasp","title":"Extract Subset of Function Array","topics":["[.fasp"]},{"page":"Extract.fv","title":"Extract or Replace Subset of Function Values","topics":["$<-.fv","[.fv","[<-.fv"]},{"page":"F3est","title":"Empty Space Function of a Three-Dimensional Point Pattern","topics":["F3est"]},{"page":"fasp.object","title":"Function Arrays for Spatial Patterns","topics":["fasp.object"]},{"page":"Fest","title":"Estimate the Empty Space Function or its Hazard Rate","topics":["Fest","Fhazard"]},{"page":"Finhom","title":"Inhomogeneous Empty Space Function","topics":["Finhom"]},{"page":"FmultiInhom","title":"Inhomogeneous Marked F-Function","topics":["Fmulti.inhom","FmultiInhom"]},{"page":"formula.fv","title":"Extract or Change the Plot Formula for a Function Value Table","topics":["formula.fv","formula<-","formula<-.fv"]},{"page":"fryplot","title":"Fry Plot of Point Pattern","topics":["fryplot","frypoints"]},{"page":"fv","title":"Create a Function Value Table","topics":["fv"]},{"page":"fv.object","title":"Function Value Table","topics":["fv.object"]},{"page":"fvnames","title":"Abbreviations for Groups of Columns in Function Value Table","topics":["fvnames","fvnames<-"]},{"page":"G3est","title":"Nearest Neighbour Distance Distribution Function of a Three-Dimensional Point Pattern","topics":["G3est"]},{"page":"Gcross","title":"Multitype Nearest Neighbour Distance Function (i-to-j)","topics":["Gcross"]},{"page":"Gcross.inhom","title":"Inhomogeneous Multitype G Cross Function","topics":["Gcross.inhom"]},{"page":"Gdot","title":"Multitype Nearest Neighbour Distance Function (i-to-any)","topics":["Gdot"]},{"page":"Gdot.inhom","title":"Inhomogeneous Multitype G Dot Function","topics":["Gdot.inhom"]},{"page":"Gest","title":"Nearest Neighbour Distance Function G","topics":["Gest","nearest.neighbour"]},{"page":"Gfox","title":"Foxall's Distance Functions","topics":["Gfox","Jfox"]},{"page":"Ginhom","title":"Inhomogeneous Nearest Neighbour Function","topics":["Ginhom"]},{"page":"Gmulti","title":"Marked Nearest Neighbour Distance Function","topics":["Gmulti"]},{"page":"GmultiInhom","title":"Inhomogeneous Marked G-Function","topics":["Gmulti.inhom","GmultiInhom"]},{"page":"harmonise.fv","title":"Make Function Tables Compatible","topics":["harmonise.fv","harmonize.fv"]},{"page":"Hest","title":"Spherical Contact Distribution Function","topics":["Hest"]},{"page":"hopskel","title":"Hopkins-Skellam Test","topics":["hopskel","hopskel.test"]},{"page":"hotbox","title":"Heat Kernel for a Two-Dimensional Rectangle","topics":["hotbox"]},{"page":"idw","title":"Inverse-distance weighted smoothing of observations at irregular points","topics":["idw"]},{"page":"Iest","title":"Estimate the I-function","topics":["Iest"]},{"page":"increment.fv","title":"Increments of a Function","topics":["increment.fv"]},{"page":"integral.fv","title":"Compute Integral of Function Object","topics":["integral.fv"]},{"page":"Jcross","title":"Multitype J Function (i-to-j)","topics":["Jcross"]},{"page":"Jcross.inhom","title":"Inhomogeneous Multitype J function (i-to-j)","topics":["Jcross.inhom"]},{"page":"Jdot","title":"Multitype J Function (i-to-any)","topics":["Jdot"]},{"page":"Jdot.inhom","title":"Inhomogeneous Multitype J function (i-to-any)","topics":["Jdot.inhom"]},{"page":"Jest","title":"Estimate the J-function","topics":["Jest"]},{"page":"Jinhom","title":"Inhomogeneous J-function","topics":["Jinhom"]},{"page":"Jmulti","title":"Marked J Function","topics":["Jmulti"]},{"page":"Jmulti.inhom","title":"Inhomogeneous Marked J-Function","topics":["Jmulti.inhom"]},{"page":"K3est","title":"K-function of a Three-Dimensional Point Pattern","topics":["K3est"]},{"page":"Kcross","title":"Multitype K Function (Cross-type)","topics":["Kcross"]},{"page":"Kcross.inhom","title":"Inhomogeneous Cross K Function","topics":["Kcross.inhom"]},{"page":"Kdot","title":"Multitype K Function (i-to-any)","topics":["Kdot"]},{"page":"Kdot.inhom","title":"Inhomogeneous Multitype K Dot Function","topics":["Kdot.inhom"]},{"page":"Kest","title":"K-function","topics":["Kest"]},{"page":"Kest.fft","title":"K-function using FFT","topics":["Kest.fft"]},{"page":"Kinhom","title":"Inhomogeneous K-function","topics":["Kinhom"]},{"page":"Kmark","title":"Mark-Weighted K Function","topics":["Kmark","markcorrint"]},{"page":"Kmeasure","title":"Reduced Second Moment Measure","topics":["Kmeasure"]},{"page":"Kmulti","title":"Marked K-Function","topics":["Kmulti"]},{"page":"Kmulti.inhom","title":"Inhomogeneous Marked K-Function","topics":["Kmulti.inhom"]},{"page":"Kscaled","title":"Locally Scaled K-function","topics":["Kscaled","Lscaled"]},{"page":"Ksector","title":"Sector K-function","topics":["Ksector"]},{"page":"laslett","title":"Laslett's Transform","topics":["laslett"]},{"page":"Lcross","title":"Multitype L-function (cross-type)","topics":["Lcross"]},{"page":"Lcross.inhom","title":"Inhomogeneous Cross Type L Function","topics":["Lcross.inhom"]},{"page":"Ldot","title":"Multitype L-function (i-to-any)","topics":["Ldot"]},{"page":"Ldot.inhom","title":"Inhomogeneous Multitype L Dot Function","topics":["Ldot.inhom"]},{"page":"Lest","title":"L-function","topics":["Lest"]},{"page":"Linhom","title":"Inhomogeneous L-function","topics":["Linhom"]},{"page":"localK","title":"Neighbourhood density function","topics":["localK","localL"]},{"page":"localKcross","title":"Local Multitype K Function (Cross-Type)","topics":["localKcross","localLcross"]},{"page":"localKcross.inhom","title":"Inhomogeneous Multitype K Function","topics":["localKcross.inhom","localLcross.inhom"]},{"page":"localKdot","title":"Local Multitype K Function (Dot-Type)","topics":["localKdot","localLdot"]},{"page":"localKinhom","title":"Inhomogeneous Neighbourhood Density Function","topics":["localKinhom","localLinhom"]},{"page":"localpcf","title":"Local pair correlation function","topics":["localpcf","localpcfinhom"]},{"page":"lohboot","title":"Bootstrap Confidence Bands for Summary Function","topics":["lohboot"]},{"page":"markconnect","title":"Mark Connection Function","topics":["markconnect"]},{"page":"markcorr","title":"Mark Correlation Function","topics":["markcorr"]},{"page":"markcrosscorr","title":"Mark Cross-Correlation Function","topics":["markcrosscorr"]},{"page":"markmarkscatter","title":"Mark-Mark Scatter Plot","topics":["markmarkscatter"]},{"page":"marktable","title":"Tabulate Marks in Neighbourhood of Every Point in a Point Pattern","topics":["marktable"]},{"page":"markvario","title":"Mark Variogram","topics":["markvario"]},{"page":"Math.fasp","title":"S3 Group Generic Methods for Function Arrays","topics":["Complex.fasp","Math.fasp","Ops.fasp","Summary.fasp"]},{"page":"Math.fv","title":"S3 Group Generic Methods for Function Tables","topics":["Complex.fv","Math.fv","Ops.fv","Summary.fv"]},{"page":"methods.rho2hat","title":"Methods for Intensity Functions of Two Spatial Covariates","topics":["methods.rho2hat","plot.rho2hat","predict.rho2hat","print.rho2hat"]},{"page":"methods.rhohat","title":"Methods for Intensity Functions of Spatial Covariate","topics":["methods.rhohat","plot.rhohat","predict.rhohat","print.rhohat","simulate.rhohat"]},{"page":"methods.ssf","title":"Methods for Spatially Sampled Functions","topics":["as.function.ssf","as.im.ssf","as.ppp.ssf","integral.ssf","marks.ssf","marks<-.ssf","max.ssf","methods.ssf","min.ssf","print.ssf","range.ssf","summary.ssf","unmark.ssf"]},{"page":"miplot","title":"Morisita Index Plot","topics":["miplot"]},{"page":"nnclean","title":"Nearest Neighbour Clutter Removal","topics":["nnclean","nnclean.pp3","nnclean.ppp"]},{"page":"nncorr","title":"Nearest-Neighbour Correlation Indices of Marked Point Pattern","topics":["nncorr","nnmean","nnvario"]},{"page":"nndensity","title":"Estimate Intensity of Point Pattern Using Nearest Neighbour Distances","topics":["nndensity","nndensity.ppp"]},{"page":"nnorient","title":"Nearest Neighbour Orientation Distribution","topics":["nnorient"]},{"page":"pairMean","title":"Mean of a Function of Interpoint Distance","topics":["pairMean"]},{"page":"pairorient","title":"Point Pair Orientation Distribution","topics":["pairorient"]},{"page":"pairs.im","title":"Scatterplot Matrix for Pixel Images","topics":["pairs.im"]},{"page":"panel.contour","title":"Panel Plots using Colour Image or Contour Lines","topics":["panel.contour","panel.histogram","panel.image"]},{"page":"pcf","title":"Pair Correlation Function","topics":["pcf"]},{"page":"pcf.fasp","title":"Pair Correlation Function obtained from array of K functions","topics":["pcf.fasp"]},{"page":"pcf.fv","title":"Pair Correlation Function obtained from K Function","topics":["pcf.fv"]},{"page":"pcf.ppp","title":"Pair Correlation Function of Point Pattern","topics":["pcf.ppp"]},{"page":"pcf3est","title":"Pair Correlation Function of a Three-Dimensional Point Pattern","topics":["pcf3est"]},{"page":"pcfcross","title":"Multitype pair correlation function (cross-type)","topics":["pcfcross"]},{"page":"pcfcross.inhom","title":"Inhomogeneous Multitype Pair Correlation Function (Cross-Type)","topics":["pcfcross.inhom"]},{"page":"pcfdot","title":"Multitype pair correlation function (i-to-any)","topics":["pcfdot"]},{"page":"pcfdot.inhom","title":"Inhomogeneous Multitype Pair Correlation Function (Type-i-To-Any-Type)","topics":["pcfdot.inhom"]},{"page":"pcfinhom","title":"Inhomogeneous Pair Correlation Function","topics":["pcfinhom"]},{"page":"pcfmulti","title":"Marked pair correlation function","topics":["pcfmulti"]},{"page":"plot.bermantest","title":"Plot Result of Berman Test","topics":["plot.bermantest"]},{"page":"plot.cdftest","title":"Plot a Spatial Distribution Test","topics":["plot.cdftest"]},{"page":"plot.envelope","title":"Plot a Simulation Envelope","topics":["plot.envelope"]},{"page":"plot.fasp","title":"Plot a Function Array","topics":["plot.fasp"]},{"page":"plot.fv","title":"Plot Function Values","topics":["plot.fv"]},{"page":"plot.laslett","title":"Plot Laslett Transform","topics":["plot.laslett"]},{"page":"plot.quadrattest","title":"Display the result of a quadrat counting test.","topics":["plot.quadrattest"]},{"page":"plot.scan.test","title":"Plot Result of Scan Test","topics":["as.im.scan.test","plot.scan.test"]},{"page":"plot.ssf","title":"Plot a Spatially Sampled Function","topics":["contour.ssf","image.ssf","plot.ssf"]},{"page":"plot.studpermutest","title":"Plot a Studentised Permutation Test","topics":["plot.studpermutest"]},{"page":"pool","title":"Pool Data","topics":["pool"]},{"page":"pool.anylist","title":"Pool Data from a List of Objects","topics":["pool.anylist"]},{"page":"pool.envelope","title":"Pool Data from Several Envelopes","topics":["pool.envelope"]},{"page":"pool.fasp","title":"Pool Data from Several Function Arrays","topics":["pool.fasp"]},{"page":"pool.fv","title":"Pool Several Functions","topics":["pool.fv"]},{"page":"pool.quadrattest","title":"Pool Several Quadrat Tests","topics":["pool.quadrattest"]},{"page":"pool.rat","title":"Pool Data from Several Ratio Objects","topics":["pool.rat"]},{"page":"PPversion","title":"Transform a Function into its P-P or Q-Q Version","topics":["PPversion","QQversion"]},{"page":"quadrat.test","title":"Dispersion Test for Spatial Point Pattern Based on Quadrat Counts","topics":["quadrat.test","quadrat.test.ppp","quadrat.test.quadratcount"]},{"page":"quadrat.test.splitppp","title":"Dispersion Test of CSR for Split Point Pattern Based on Quadrat Counts","topics":["quadrat.test.splitppp"]},{"page":"radcumint","title":"Radial Cumulative Integral","topics":["radcumint"]},{"page":"rat","title":"Ratio object","topics":["rat"]},{"page":"rectcontact","title":"Contact Distribution Function using Rectangular Structuring Element","topics":["rectcontact"]},{"page":"reload.or.compute","title":"Compute Unless Previously Saved","topics":["reload.or.compute"]},{"page":"relrisk","title":"Estimate of Spatially-Varying Relative Risk","topics":["relrisk"]},{"page":"relrisk.ppp","title":"Nonparametric Estimate of Spatially-Varying Relative Risk","topics":["relrisk.ppp"]},{"page":"relriskHeat","title":"Diffusion Estimate of Conditional Probabilities","topics":["relriskHeat","relriskHeat.ppp"]},{"page":"rho2hat","title":"Smoothed Relative Density of Pairs of Covariate Values","topics":["rho2hat"]},{"page":"rhohat","title":"Nonparametric Estimate of Intensity as Function of a Covariate","topics":["rhohat","rhohat.ppp","rhohat.quad"]},{"page":"roc","title":"Receiver Operating Characteristic","topics":["roc","roc.ppp"]},{"page":"rose","title":"Rose Diagram","topics":["rose","rose.default","rose.density","rose.fv","rose.histogram"]},{"page":"rotmean","title":"Rotational Average of a Pixel Image","topics":["rotmean"]},{"page":"scan.test","title":"Spatial Scan Test","topics":["scan.test"]},{"page":"scanLRTS","title":"Likelihood Ratio Test Statistic for Scan Test","topics":["scanLRTS"]},{"page":"sdr","title":"Sufficient Dimension Reduction","topics":["sdr","sdr.ppp"]},{"page":"sdrPredict","title":"Compute Predictors from Sufficient Dimension Reduction","topics":["sdrPredict"]},{"page":"segregation.test","title":"Test of Spatial Segregation of Types","topics":["segregation.test","segregation.test.ppp"]},{"page":"sharpen","title":"Data Sharpening of Point Pattern","topics":["sharpen","sharpen.ppp"]},{"page":"Smooth","title":"Spatial smoothing of data","topics":["Smooth"]},{"page":"Smooth.fv","title":"Apply Smoothing to Function Values","topics":["Smooth.fv"]},{"page":"Smooth.ppp","title":"Spatial smoothing of observations at irregular points","topics":["markmean","markvar","Smooth.ppp"]},{"page":"Smooth.ssf","title":"Smooth a Spatially Sampled Function","topics":["Smooth.ssf"]},{"page":"Smoothfun.ppp","title":"Smooth Interpolation of Marks as a Spatial Function","topics":["Smoothfun","Smoothfun.ppp"]},{"page":"SmoothHeat","title":"Spatial Smoothing of Data by Diffusion","topics":["SmoothHeat"]},{"page":"SmoothHeat.ppp","title":"Spatial Smoothing of Observations using Diffusion Estimate of Density","topics":["SmoothHeat.ppp"]},{"page":"spatcov","title":"Estimate the Spatial Covariance Function of a Random Field","topics":["spatcov"]},{"page":"spatialcdf","title":"Spatial Cumulative Distribution Function","topics":["spatialcdf"]},{"page":"SpatialMedian.ppp","title":"Spatially Weighted Median of Values at Points","topics":["SpatialMedian.ppp"]},{"page":"SpatialQuantile","title":"Spatially Weighted Median or Quantile","topics":["SpatialMedian","SpatialQuantile"]},{"page":"SpatialQuantile.ppp","title":"Spatially Weighted Quantile of Values at Points","topics":["SpatialQuantile.ppp"]},{"page":"ssf","title":"Spatially Sampled Function","topics":["ssf"]},{"page":"stienen","title":"Stienen Diagram","topics":["stienen","stienenSet"]},{"page":"studpermu.test","title":"Studentised Permutation Test","topics":["studpermu.test"]},{"page":"subspaceDistance","title":"Distance Between Linear Spaces","topics":["subspaceDistance"]},{"page":"thresholdCI","title":"Confidence Interval for Threshold of Numerical Predictor","topics":["thresholdCI"]},{"page":"thresholdSelect","title":"Select Threshold to Convert Numerical Predictor to Binary Predictor","topics":["thresholdSelect"]},{"page":"transect.im","title":"Pixel Values Along a Transect","topics":["transect.im"]},{"page":"Tstat","title":"Third order summary statistic","topics":["Tstat"]},{"page":"varblock","title":"Estimate Variance of Summary Statistic by Subdivision","topics":["varblock"]},{"page":"Window.quadrattest","title":"Extract Window of Spatial Object","topics":["Window.quadrattest"]},{"page":"with.fv","title":"Evaluate an Expression in a Function Table","topics":["with.fv"]},{"page":"with.ssf","title":"Evaluate Expression in a Spatially Sampled Function","topics":["apply.ssf","with.ssf"]}],"_readme":"https://github.com/spatstat/spatstat.explore/raw/HEAD/README.md","_rundeps":["abind","deldir","goftest","lattice","Matrix","nlme","polyclip","spatstat.data","spatstat.geom","spatstat.random","spatstat.sparse","spatstat.univar","spatstat.utils","tensor"],"_score":10.05358930251365,"_indexed":true,"_nocasepkg":"spatstat.explore","_universes":["spatstat","baddstats"],"_previous":"3.3-3","_binaries":[]}
{"Package":"spatstat.model","Version":"3.3-3.001","Date":"2024-12-03","Title":"Parametric Statistical Modelling and Inference for the\n'spatstat' Family","Authors@R":"c(person(\"Adrian\", \"Baddeley\", \nrole = c(\"aut\", \"cre\", \"cph\"),\nemail = \"Adrian.Baddeley@curtin.edu.au\",\ncomment = c(ORCID=\"0000-0001-9499-8382\")),\nperson(\"Rolf\", \"Turner\",\nrole = c(\"aut\", \"cph\"),\nemail=\"rolfturner@posteo.net\",\ncomment=c(ORCID=\"0000-0001-5521-5218\")),\nperson(\"Ege\",   \"Rubak\",\nrole = c(\"aut\", \"cph\"),\nemail = \"rubak@math.aau.dk\",\ncomment=c(ORCID=\"0000-0002-6675-533X\")),\nperson(\"Kasper\", \"Klitgaard Berthelsen\",\nrole = \"ctb\"),\nperson(\"Achmad\", \"Choiruddin\",\nrole = c(\"ctb\", \"cph\")),\nperson(\"Jean-Francois\", \"Coeurjolly\",\nrole = \"ctb\"),\nperson(\"Ottmar\", \"Cronie\",\nrole = \"ctb\"),\nperson(\"Tilman\", \"Davies\",\nrole = \"ctb\"),\nperson(\"Julian\", \"Gilbey\",\nrole = \"ctb\"),\nperson(\"Yongtao\", \"Guan\",\nrole = \"ctb\"),\nperson(\"Ute\", \"Hahn\",\nrole = \"ctb\"),\nperson(\"Martin\", \"Hazelton\",\nrole = \"ctb\"),\nperson(\"Kassel\", \"Hingee\",\nrole = \"ctb\"),\nperson(\"Abdollah\", \"Jalilian\",\nrole = \"ctb\"),\nperson(\"Frederic\", \"Lavancier\",\nrole = \"ctb\"),\nperson(\"Marie-Colette\", \"van Lieshout\",\nrole = \"ctb\"),\nperson(\"Bethany\", \"Macdonald\",\nrole = \"ctb\"),\nperson(\"Greg\", \"McSwiggan\",\nrole = \"ctb\"),\nperson(\"Tuomas\", \"Rajala\",\nrole = \"ctb\"),\nperson(\"Suman\", \"Rakshit\",\nrole = c(\"ctb\", \"cph\")),\nperson(\"Dominic\", \"Schuhmacher\",\nrole = \"ctb\"),\nperson(\"Rasmus\", \"Plenge Waagepetersen\",\nrole = \"ctb\"),\nperson(\"Hangsheng\", \"Wang\",\nrole = \"ctb\"))","Maintainer":"Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>","Description":"Functionality for parametric statistical modelling and\ninference for spatial data, mainly spatial point patterns, in\nthe 'spatstat' family of packages. (Excludes analysis of\nspatial data on a linear network, which is covered by the\nseparate package 'spatstat.linnet'.) Supports parametric\nmodelling, formal statistical inference, and model validation.\nParametric models include Poisson point processes, Cox point\nprocesses, Neyman-Scott cluster processes, Gibbs point\nprocesses and determinantal point processes. Models can be\nfitted to data using maximum likelihood, maximum\npseudolikelihood, maximum composite likelihood and the method\nof minimum contrast. Fitted models can be simulated and\npredicted. Formal inference includes hypothesis tests (quadrat\ncounting tests, Cressie-Read tests, Clark-Evans test, Berman\ntest, Diggle-Cressie-Loosmore-Ford test, scan test, studentised\npermutation test, segregation test, ANOVA tests of fitted\nmodels, adjusted composite likelihood ratio test, envelope\ntests, Dao-Genton test, balanced independent two-stage test),\nconfidence intervals for parameters, and prediction intervals\nfor point counts. Model validation techniques include leverage,\ninfluence, partial residuals, added variable plots, diagnostic\nplots, pseudoscore residual plots, model compensators and Q-Q\nplots.","License":"GPL (>= 2)","URL":"http://spatstat.org/","NeedsCompilation":"yes","ByteCompile":"true","BugReports":"https://github.com/spatstat/spatstat.model/issues","Repository":"https://spatstat.r-universe.dev","RemoteUrl":"https://github.com/spatstat/spatstat.model","RemoteRef":"HEAD","RemoteSha":"994a572a75d9137979252481214bc98e709589db","Packaged":{"Date":"2025-01-02 06:13:07 UTC","User":"root"},"Author":"Adrian Baddeley [aut, cre, cph]\n(<https://orcid.org/0000-0001-9499-8382>),\nRolf Turner [aut, cph] (<https://orcid.org/0000-0001-5521-5218>),\nEge Rubak [aut, cph] (<https://orcid.org/0000-0002-6675-533X>),\nKasper Klitgaard Berthelsen [ctb],\nAchmad Choiruddin [ctb, cph],\nJean-Francois Coeurjolly [ctb],\nOttmar Cronie [ctb],\nTilman Davies [ctb],\nJulian Gilbey [ctb],\nYongtao Guan [ctb],\nUte Hahn [ctb],\nMartin Hazelton [ctb],\nKassel Hingee [ctb],\nAbdollah Jalilian [ctb],\nFrederic Lavancier [ctb],\nMarie-Colette van Lieshout [ctb],\nBethany Macdonald [ctb],\nGreg McSwiggan [ctb],\nTuomas Rajala [ctb],\nSuman Rakshit [ctb, cph],\nDominic Schuhmacher [ctb],\nRasmus Plenge Waagepetersen [ctb],\nHangsheng Wang [ctb]","MD5sum":"6d809245cf3033b93b42e5768896a228","_user":"spatstat","_type":"src","_file":"spatstat.model_3.3-3.001.tar.gz","_fileid":"1c247b07771bf8a05d61028507bc1da9fc789ab5a01b992e976e4bf92d1b506c","_filesize":2705068,"_sha256":"1c247b07771bf8a05d61028507bc1da9fc789ab5a01b992e976e4bf92d1b506c","_created":"2025-01-02T06:13:07.000Z","_published":"2025-01-02T06:20:49.701Z","_upstream":"https://github.com/spatstat/spatstat.model","_commit":{"id":"994a572a75d9137979252481214bc98e709589db","author":"Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>","committer":"Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>","message":"Improved warning message about splitting quadscheme\n","time":1733213486},"_maintainer":{"name":"Adrian Baddeley","email":"adrian.baddeley@curtin.edu.au","login":"baddstats","uuid":7161794,"orcid":"0000-0001-9499-8382"},"_distro":"noble","_host":"GitHub-Actions","_status":"success","_pkgdocs":"skipped","_winbinary":"success","_macbinary":"success","_wasmbinary":"none","_linuxdevel":"success","_windevel":"success","_buildurl":"https://github.com/r-universe/spatstat/actions/runs/12578319452","_registered":true,"_dependencies":[{"package":"R","version":">= 3.5.0","role":"Depends"},{"package":"spatstat.data","version":">= 3.1-4","role":"Depends"},{"package":"spatstat.univar","version":">= 3.1-1","role":"Depends"},{"package":"spatstat.geom","version":">= 3.3-4","role":"Depends"},{"package":"spatstat.random","version":">= 3.3-2","role":"Depends"},{"package":"spatstat.explore","version":">= 3.3-0","role":"Depends"},{"package":"stats","role":"Depends"},{"package":"graphics","role":"Depends"},{"package":"grDevices","role":"Depends"},{"package":"utils","role":"Depends"},{"package":"methods","role":"Depends"},{"package":"nlme","role":"Depends"},{"package":"rpart","role":"Depends"},{"package":"spatstat.utils","version":">= 3.1-1","role":"Imports"},{"package":"spatstat.sparse","version":">= 3.1-0","role":"Imports"},{"package":"mgcv","role":"Imports"},{"package":"Matrix","role":"Imports"},{"package":"abind","role":"Imports"},{"package":"tensor","role":"Imports"},{"package":"goftest","version":">= 1.2-2","role":"Imports"},{"package":"sm","role":"Suggests"},{"package":"gsl","role":"Suggests"},{"package":"locfit","role":"Suggests"},{"package":"spatial","role":"Suggests"},{"package":"fftwtools","version":">= 0.9-8","role":"Suggests"},{"package":"nleqslv","role":"Suggests"},{"package":"glmnet","role":"Suggests"},{"package":"spatstat.linnet","version":">= 3.2-2","role":"Suggests"},{"package":"spatstat","version":">= 3.2-1","role":"Suggests"}],"_owner":"spatstat","_selfowned":true,"_usedby":46,"_updates":[{"week":"2024-02","n":6},{"week":"2024-04","n":1},{"week":"2024-05","n":2},{"week":"2024-06","n":1},{"week":"2024-12","n":1},{"week":"2024-15","n":2},{"week":"2024-16","n":1},{"week":"2024-18","n":1},{"week":"2024-23","n":1},{"week":"2024-24","n":3},{"week":"2024-25","n":3},{"week":"2024-26","n":3},{"week":"2024-27","n":1},{"week":"2024-28","n":1},{"week":"2024-29","n":1},{"week":"2024-30","n":1},{"week":"2024-31","n":1},{"week":"2024-38","n":3},{"week":"2024-40","n":3},{"week":"2024-47","n":2},{"week":"2024-49","n":1}],"_tags":[{"name":"v3.3-0","date":"2024-07-06"},{"name":"v3.3-3","date":"2024-11-19"}],"_topics":["analysis-of-variance","cluster-process","confidence-intervals","cox-process","determinantal-point-processes","gibbs-process","influence","leverage","model-diagnostics","neyman-scott","parameter-estimation","poisson-process","spatial-analysis","spatial-modelling","spatial-point-processes","statistical-inference"],"_stars":5,"_contributions":{"baddstats":120},"_userbio":{"uuid":8414375,"type":"organization","name":"The Spatstat Team"},"_downloads":{"count":12050,"source":"https://cranlogs.r-pkg.org/downloads/total/last-month/spatstat.model"},"_mentions":172,"_devurl":"https://github.com/spatstat/spatstat.model","_searchresults":4,"_assets":["extra/citation.cff","extra/citation.html","extra/citation.json","extra/citation.txt","extra/contents.json","extra/NEWS.html","extra/NEWS.txt","extra/readme.html","extra/readme.md","extra/spatstat.model.html","manual.pdf"],"_homeurl":"https://github.com/spatstat/spatstat.model","_realowner":"spatstat","_cranurl":true,"_releases":[{"version":"3.0-2","date":"2022-11-07"},{"version":"3.1-2","date":"2023-01-26"},{"version":"3.2-1","date":"2023-02-15"},{"version":"3.2-3","date":"2023-04-21"},{"version":"3.2-4","date":"2023-05-15"},{"version":"3.2-6","date":"2023-09-07"},{"version":"3.2-8","date":"2023-10-23"},{"version":"3.2-10","date":"2024-02-02"},{"version":"3.2-11","date":"2024-03-22"},{"version":"3.3-1","date":"2024-07-15"},{"version":"3.3-2","date":"2024-09-19"},{"version":"3.3-3","date":"2024-11-19"}],"_exports":["[.influence.ppm","[.leverage.ppm","[.msr","accumulateStatus","active.interactions","adaptcoef","addvar","affine.msr","AIC.dppm","AIC.kppm","AIC.mppm","AIC.ppm","anova.mppm","anova.ppm","anova.slrm","areadelta2","AreaInter","as.function.leverage.ppm","as.fv.dppm","as.fv.kppm","as.fv.minconfit","as.im.leverage.ppm","as.interact","as.interact.fii","as.interact.interact","as.interact.ppm","as.interact.zgibbsmodel","as.isf","as.isf.zgibbsmodel","as.layered.msr","as.owin.dppm","as.owin.influence.ppm","as.owin.kppm","as.owin.leverage.ppm","as.owin.msr","as.owin.ppm","as.owin.slrm","as.ppm","as.ppm.dppm","as.ppm.kppm","as.ppm.ppm","as.ppm.profilepl","as.ppm.rppm","as.ppp.influence.ppm","auc.kppm","auc.ppm","auc.slrm","augment.msr","BadGey","bc","bc.ppm","berman.test.ppm","bigvaluerule","blankcoefnames","bt.frame","cannot.update","cauchy.estK","cauchy.estpcf","cdf.test.mppm","cdf.test.ppm","cdf.test.slrm","check.separable","closepaircounts","clusterfield.kppm","clusterfit","clusterkernel.kppm","clusterradius.kppm","clusterradius.zclustermodel","coef.dppm","coef.fii","coef.kppm","coef.mppm","coef.ppm","coef.slrm","coef.summary.fii","coef.summary.kppm","coef.summary.ppm","coef.summary.slrm","coef.vblogit","coef<-.fii","compareFit","Concom","condSimCox","contour.leverage.ppm","contour.objsurf","crosspaircounts","damaged.ppm","data.mppm","data.ppm","deltasuffstat","detpointprocfamilyfun","deviance.ppm","deviance.slrm","dfbetas.ppm","dfbetas.ppmInfluence","dfbetas.slrm","dffit","dffit.ppm","dffit.slrm","diagnose.ppm","diagnose.ppm.engine","DiggleGatesStibbard","DiggleGratton","dim.detpointprocfamily","dim.msr","dimnames.msr","domain.dppm","domain.influence.ppm","domain.kppm","domain.leverage.ppm","domain.msr","domain.ppm","domain.slrm","doMultiStraussHard","dppapproxkernel","dppapproxpcf","dppBessel","dppCauchy","dppDpcf","dppeigen","dppGauss","dppkernel","dppm","dppMatern","dppmFixAlgorithm","dppmFixIntensity","dppparbounds","dppPowerExp","DPPSaddle","DPPSaddlePairwise","dppspecden","dppspecdenrange","dummify","dummy.ppm","eem","eem.ppm","eem.slrm","effectfun","emend","emend.ppm","emend.slrm","enet.engine","envelope.kppm","envelope.ppm","envelope.slrm","equalpairs","evalInteraction","evalInterEngine","evalPairPotential","evalPairwiseTerm","exactMPLEstrauss","expandDot","extractAIC.dppm","extractAIC.kppm","extractAIC.mppm","extractAIC.ppm","extractAIC.slrm","fakefii","family.hackglmmPQL","family.vblogit","fii","Fiksel","fill.coefs","findCovariate","fitin","fitin.ppm","fitin.profilepl","fitted.dppm","fitted.kppm","fitted.mppm","fitted.ppm","fitted.rppm","fitted.slrm","fixef.mppm","flipxy.msr","forbid.logi","formula.dppm","formula.hackglmmPQL","formula.kppm","formula.ppm","formula.slrm","Gcom","getCall.mppm","getdataname","getglmdata","getglmdata.mppm","getglmdata.ppm","getglmdata.slrm","getglmfit","getglmfit.mppm","getglmfit.ppm","getglmfit.slrm","getglmsubset","getglmsubset.mppm","getglmsubset.ppm","getglmsubset.slrm","getppmdatasubset","getppmOriginalCovariates","Geyer","geyercounts","geyerdelta2","GLMpredict","Gres","hackglmmPQL","Hardcore","hardcoredist","hardcoredist.fii","hardcoredist.ppm","harmonic","harmonise.msr","has.offset","has.offset.term","hasglmfit","hasglmfit.mppm","hasglmfit.ppm","hasglmfit.slrm","hierarchicalordering","HierHard","hiermat","hierpair.family","HierStrauss","HierStraussHard","ho.engine","Hybrid","hybrid.family","ic","ic.kppm","ic.ppm","illegal.iformula","image.objsurf","impliedcoefficients","impliedpresence","improve.kppm","influence.ppm","influence.ppmInfluence","influence.slrm","inforder.family","instantiate.interact","integral.influence.ppm","integral.leverage.ppm","integral.msr","intensity.detpointprocfamily","intensity.dppm","intensity.ppm","intensity.slrm","intensity.zclustermodel","intensity.zgibbsmodel","interactionfamilyname","interactionorder","interactionorder.fii","interactionorder.interact","interactionorder.isf","interactionorder.ppm","interactionorder.zgibbsmodel","intermaker","ippm","is.dppm","is.expandable.ppm","is.hybrid","is.hybrid.interact","is.hybrid.ppm","is.interact","is.kppm","is.lppm","is.marked.mppm","is.marked.msr","is.marked.ppm","is.marked.rppm","is.marked.slrm","is.mppm","is.multitype.mppm","is.multitype.msr","is.multitype.ppm","is.multitype.rppm","is.multitype.slrm","is.poisson.interact","is.poisson.kppm","is.poisson.mppm","is.poisson.ppm","is.poisson.rppm","is.poisson.slrm","is.poisson.zgibbsmodel","is.poissonclusterprocess","is.poissonclusterprocess.default","is.poissonclusterprocess.kppm","is.poissonclusterprocess.zclustermodel","is.ppm","is.slrm","is.stationary.detpointprocfamily","is.stationary.dppm","is.stationary.kppm","is.stationary.ppm","is.stationary.slrm","is.stationary.zgibbsmodel","Kcom","killinteraction","Kmodel","Kmodel.detpointprocfamily","Kmodel.dppm","Kmodel.kppm","Kmodel.ppm","Kmodel.slrm","Kmodel.zclustermodel","Kpcf.kppm","kppm","kppm.formula","kppm.ppp","kppm.quad","kppmCLadap","kppmComLik","kppmMinCon","kppmPalmLik","Kres","labels.dppm","labels.kppm","labels.ppm","labels.slrm","LambertW","LennardJones","leverage","leverage.ppm","leverage.ppmInfluence","leverage.slrm","lgcp.estK","lgcp.estpcf","lines.objsurf","lines.traj","logi.engine","logLik.dppm","logLik.kppm","logLik.mppm","logLik.ppm","logLik.slrm","logLik.vblogit","LurkEngine","lurking","lurking.mppm","lurking.ppm","lurking.ppp","make.pspace","mapInterVars","matclust.estK","matclust.estpcf","Mayer","mean.leverage.ppm","measureContinuous","measureDiscrete","measureNegative","measurePositive","measureVariation","measureWeighted","mincontrast","model.covariates","model.depends","model.frame.dppm","model.frame.kppm","model.frame.ppm","model.frame.slrm","model.images","model.images.dppm","model.images.kppm","model.images.ppm","model.images.slrm","model.is.additive","model.matrix.dppm","model.matrix.ippm","model.matrix.kppm","model.matrix.mppm","model.matrix.ppm","model.matrix.slrm","model.se.image","modelFrameGam","mpl.engine","mpl.get.covariates","mpl.prepare","mpl.usable","mppm","msr","MultiHard","MultiStrauss","MultiStraussHard","newformula","newstyle.coeff.handling","nndcumfun","no.trend.ppm","nobs.dppm","nobs.kppm","nobs.mppm","nobs.ppm","npfun","objsurf","objsurf.dppm","objsurf.kppm","objsurf.minconfit","objsurfEngine","Ops.msr","optimConverged","optimNsteps","optimStatus","Ord","ord.family","OrdThresh","outdated.interact","oversize.quad","PairPiece","PairPotentialType","pairsat.family","Pairwise","pairwise.family","palmdiagnose","panel.contour","panel.histogram","panel.image","panysib","parameters","parameters.detpointprocfamily","parameters.dppm","parameters.fii","parameters.interact","parameters.kppm","parameters.ppm","parameters.profilepl","parameters.slrm","parres","partialModelMatrix","pcfmodel","pcfmodel.detpointprocfamily","pcfmodel.dppm","pcfmodel.kppm","pcfmodel.ppm","pcfmodel.slrm","pcfmodel.zclustermodel","Penttinen","persp.leverage.ppm","persp.objsurf","plot.addvar","plot.diagppm","plot.dppm","plot.fii","plot.influence.ppm","plot.kppm","plot.leverage.ppm","plot.lurk","plot.minconfit","plot.mppm","plot.msr","plot.objsurf","plot.palmdiag","plot.parres","plot.plotppm","plot.ppm","plot.profilepl","plot.qqppm","plot.rppm","plot.slrm","plot.traj","ploterodeimage","ploterodewin","PoisSaddle","PoisSaddleArea","PoisSaddleGeyer","PoisSaddlePairwise","Poisson","poisson.fits.better","PoissonCompareCalc","polynom","ppm","ppm.default","ppm.formula","ppm.ppp","ppm.quad","ppmCovariates","ppmDerivatives","ppmInfluence","ppmInfluenceEngine","PPMmodelmatrix","predict.dppm","predict.kppm","predict.mppm","predict.ppm","predict.profilepl","predict.rppm","predict.slrm","predict.vblogit","predict.zclustermodel","print.addvar","print.bt.frame","print.detpointprocfamily","print.detpointprocfamilyfun","print.diagppm","print.dppm","print.fii","print.hierarchicalordering","print.influence.ppm","print.interact","print.intermaker","print.isf","print.kppm","print.leverage.ppm","print.lurk","print.minconfit","print.mppm","print.msr","print.objsurf","print.parres","print.plotppm","print.ppm","print.profilepl","print.qqppm","print.rppm","print.slrm","print.summary.dppm","print.summary.fii","print.summary.kppm","print.summary.mppm","print.summary.objsurf","print.summary.ppm","print.summary.slrm","print.traj","print.vblogit","print.zclustermodel","print.zgibbsmodel","printStatus","printStatusList","profilepl","project.ppm","prune.rppm","pseudoR2","pseudoR2.ppm","pseudoR2.slrm","psib","psib.kppm","psst","psstA","psstG","qqplot.ppm","quad.mppm","quad.ppm","quadBlockSizes","quadrat.test.mppm","quadrat.test.ppm","quadrat.test.slrm","ranef.mppm","rdpp","reach.detpointprocfamily","reach.dppm","reach.fii","reach.interact","reach.kppm","reach.ppm","reach.slrm","reach.zclustermodel","reduceformula","reincarnate.interact","relrisk.ppm","repul","repul.dppm","rescale.msr","resid1panel","resid1plot","resid4plot","residualMeasure","residuals.dppm","residuals.kppm","residuals.mppm","residuals.ppm","residuals.rppm","residuals.slrm","response","response.dppm","response.exactppm","response.glm","response.kppm","response.lm","response.mppm","response.ppm","response.rppm","response.slrm","rex","rhohat.ppm","rhohat.slrm","rmh.ppm","rmhmodel.ppm","roc.kppm","roc.ppm","roc.slrm","rotate.msr","rppm","SaddleApprox","safeFiniteValue","safePositiveValue","SatPiece","Saturated","scalardilate.msr","shift.influence.ppm","shift.leverage.ppm","shift.msr","signalStatus","simulate.detpointprocfamily","simulate.dppm","simulate.kppm","simulate.mppm","simulate.ppm","simulate.profilepl","simulate.slrm","slr.prepare","slrAssemblePixelData","slrm","slrmInfluence","Smooth.influence.ppm","Smooth.leverage.ppm","Smooth.msr","Softcore","sp.foundclass","sp.foundclasses","spatialCovariateEvidence.ppm","spatialCovariateEvidence.slrm","spatialCovariateUnderModel","spatialCovariateUnderModel.dppm","spatialCovariateUnderModel.kppm","spatialCovariateUnderModel.ppm","spatialCovariateUnderModel.slrm","spatstatDPPModelInfo","split.msr","splitHybridInteraction","Strauss","strausscounts","StraussHard","stripGLMM","subfits","subfits.new","subfits.old","suffloc","suffstat","suffstat.generic","suffstat.poisson","summary.dppm","summary.fii","summary.kppm","summary.mppm","summary.msr","summary.objsurf","summary.ppm","summary.profilepl","summary.slrm","summary.vblogit","terms.dppm","terms.kppm","terms.mppm","terms.ppm","terms.rppm","terms.slrm","thomas.estK","thomas.estpcf","totalVariation","traj","triplet.family","Triplets","tweak.coefs","unitname.dppm","unitname.kppm","unitname.minconfit","unitname.msr","unitname.ppm","unitname.slrm","unitname<-.dppm","unitname<-.kppm","unitname<-.minconfit","unitname<-.msr","unitname<-.ppm","unitname<-.slrm","unstack.msr","update.detpointprocfamily","update.dppm","update.interact","update.ippm","update.kppm","update.msr","update.ppm","update.rppm","update.slrm","updateData.dppm","updateData.kppm","updateData.ppm","updateData.slrm","valid","valid.detpointprocfamily","valid.ppm","valid.slrm","varcount","varcountEngine","vargamma.estK","vargamma.estpcf","vcov.kppm","vcov.mppm","vcov.ppm","vcov.slrm","versionstring.interact","versionstring.ppm","Window.dppm","Window.influence.ppm","Window.kppm","Window.leverage.ppm","Window.msr","Window.ppm","Window.slrm","windows.mppm","with.msr","zclustermodel","zgibbsmodel"],"_help":[{"page":"spatstat.model-package","title":"The spatstat.model Package","topics":["spatstat.model-package","spatstat.model"]},{"page":"addvar","title":"Added Variable Plot for Point Process Model","topics":["addvar"]},{"page":"anova.mppm","title":"ANOVA for Fitted Point Process Models for Replicated Patterns","topics":["anova.mppm"]},{"page":"anova.ppm","title":"ANOVA for Fitted Point Process Models","topics":["anova.ppm"]},{"page":"anova.slrm","title":"Analysis of Deviance for Spatial Logistic Regression Models","topics":["anova.slrm"]},{"page":"AreaInter","title":"The Area Interaction Point Process Model","topics":["AreaInter"]},{"page":"as.function.leverage.ppm","title":"Convert Leverage Object to Function of Coordinates","topics":["as.function.leverage.ppm"]},{"page":"as.fv.kppm","title":"Convert Fitted Model To Class fv","topics":["as.fv.dppm","as.fv.kppm","as.fv.minconfit"]},{"page":"as.interact","title":"Extract Interaction Structure","topics":["as.interact","as.interact.fii","as.interact.interact","as.interact.ppm"]},{"page":"as.layered.msr","title":"Convert Measure To Layered Object","topics":["as.layered.msr"]},{"page":"as.owin.ppm","title":"Convert Data To Class owin","topics":["as.owin.dppm","as.owin.kppm","as.owin.msr","as.owin.ppm","as.owin.slrm"]},{"page":"as.ppm","title":"Extract Fitted Point Process Model","topics":["as.ppm","as.ppm.dppm","as.ppm.kppm","as.ppm.ppm","as.ppm.profilepl","as.ppm.rppm"]},{"page":"auc","title":"Area Under ROC Curve","topics":["auc.kppm","auc.ppm","auc.slrm"]},{"page":"BadGey","title":"Hybrid Geyer Point Process Model","topics":["BadGey"]},{"page":"bc.ppm","title":"Bias Correction for Fitted Model","topics":["bc","bc.ppm"]},{"page":"berman.test","title":"Berman's Tests for Point Process Model","topics":["berman.test.ppm"]},{"page":"cauchy.estK","title":"Fit the Neyman-Scott cluster process with Cauchy kernel","topics":["cauchy.estK"]},{"page":"cauchy.estpcf","title":"Fit the Neyman-Scott cluster process with Cauchy kernel","topics":["cauchy.estpcf"]},{"page":"cdf.test.mppm","title":"Spatial Distribution Test for Multiple Point Process Model","topics":["cdf.test.mppm"]},{"page":"cdf.test","title":"Spatial Distribution Test for Point Pattern or Point Process Model","topics":["cdf.test.ppm","cdf.test.slrm"]},{"page":"closepaircounts","title":"Count Close Pairs of Points","topics":["closepaircounts","crosspaircounts"]},{"page":"clusterfield.kppm","title":"Field of clusters","topics":["clusterfield.kppm"]},{"page":"clusterfit","title":"Fit Cluster or Cox Point Process Model via Minimum Contrast","topics":["clusterfit"]},{"page":"clusterkernel.kppm","title":"Extract Cluster Offspring Kernel","topics":["clusterkernel.kppm"]},{"page":"clusterradius.kppm","title":"Compute or Extract Effective Range of Cluster Kernel","topics":["clusterradius.kppm"]},{"page":"coef.mppm","title":"Coefficients of Point Process Model Fitted to Multiple Point Patterns","topics":["coef.mppm"]},{"page":"coef.ppm","title":"Coefficients of Fitted Point Process Model","topics":["coef.ppm"]},{"page":"coef.slrm","title":"Coefficients of Fitted Spatial Logistic Regression Model","topics":["coef.slrm"]},{"page":"compareFit","title":"Residual Diagnostics for Multiple Fitted Models","topics":["compareFit"]},{"page":"Concom","title":"The Connected Component Process Model","topics":["Concom"]},{"page":"data.ppm","title":"Extract Original Data from a Fitted Point Process Model","topics":["data.ppm"]},{"page":"detpointprocfamilyfun","title":"Construct a New Determinantal Point Process Model Family Function","topics":["detpointprocfamilyfun"]},{"page":"dfbetas.ppm","title":"Parameter Influence Measure","topics":["dfbetas.ppm"]},{"page":"dffit.ppm","title":"Case Deletion Effect Measure of Fitted Model","topics":["dffit","dffit.ppm"]},{"page":"diagnose.ppm","title":"Diagnostic Plots for Fitted Point Process Model","topics":["diagnose.ppm","plot.diagppm"]},{"page":"DiggleGatesStibbard","title":"Diggle-Gates-Stibbard Point Process Model","topics":["DiggleGatesStibbard"]},{"page":"DiggleGratton","title":"Diggle-Gratton model","topics":["DiggleGratton"]},{"page":"dim.detpointprocfamily","title":"Dimension of Determinantal Point Process Model","topics":["dim.detpointprocfamily"]},{"page":"domain.ppm","title":"Extract the Domain of any Spatial Object","topics":["domain.dppm","domain.kppm","domain.msr","domain.ppm","domain.slrm"]},{"page":"dppapproxkernel","title":"Approximate Determinantal Point Process Kernel","topics":["dppapproxkernel"]},{"page":"dppapproxpcf","title":"Approximate Pair Correlation Function of Determinantal Point Process Model","topics":["dppapproxpcf"]},{"page":"dppBessel","title":"Bessel Type Determinantal Point Process Model","topics":["dppBessel"]},{"page":"dppCauchy","title":"Generalized Cauchy Determinantal Point Process Model","topics":["dppCauchy"]},{"page":"dppeigen","title":"Internal function calculating eig and index","topics":["dppeigen"]},{"page":"dppGauss","title":"Gaussian Determinantal Point Process Model","topics":["dppGauss"]},{"page":"dppkernel","title":"Extract Kernel from Determinantal Point Process Model Object","topics":["dppkernel"]},{"page":"dppm","title":"Fit Determinantal Point Process Model","topics":["dppm"]},{"page":"dppMatern","title":"Whittle-Matern Determinantal Point Process Model","topics":["dppMatern"]},{"page":"dppparbounds","title":"Parameter Bound for a Determinantal Point Process Model","topics":["dppparbounds"]},{"page":"dppPowerExp","title":"Power Exponential Spectral Determinantal Point Process Model","topics":["dppPowerExp"]},{"page":"dppspecden","title":"Extract Spectral Density from Determinantal Point Process Model Object","topics":["dppspecden"]},{"page":"dppspecdenrange","title":"Range of Spectral Density of a Determinantal Point Process Model","topics":["dppspecdenrange"]},{"page":"dummify","title":"Convert Data to Numeric Values by Constructing Dummy Variables","topics":["dummify"]},{"page":"dummy.ppm","title":"Extract Dummy Points Used to Fit a Point Process Model","topics":["dummy.ppm"]},{"page":"eem","title":"Exponential Energy Marks","topics":["eem","eem.ppm","eem.slrm"]},{"page":"effectfun","title":"Compute Fitted Effect of a Spatial Covariate in a Point Process Model","topics":["effectfun"]},{"page":"emend","title":"Force Model to be Valid","topics":["emend"]},{"page":"emend.ppm","title":"Force Point Process Model to be Valid","topics":["emend.ppm","project.ppm"]},{"page":"emend.slrm","title":"Force Spatial Logistic Regression Model to be Valid","topics":["emend.slrm"]},{"page":"envelope","title":"Simulation Envelopes of Summary Function","topics":["envelope.kppm","envelope.ppm","envelope.slrm"]},{"page":"exactMPLEstrauss","title":"Exact Maximum Pseudolikelihood Estimate for Stationary Strauss Process","topics":["exactMPLEstrauss"]},{"page":"Extract.influence.ppm","title":"Extract Subset of Influence Object","topics":["[.influence.ppm"]},{"page":"Extract.leverage.ppm","title":"Extract Subset of Leverage Object","topics":["[.leverage.ppm"]},{"page":"Extract.msr","title":"Extract Subset of Signed or Vector Measure","topics":["[.msr"]},{"page":"Fiksel","title":"The Fiksel Interaction","topics":["Fiksel"]},{"page":"fitin","title":"Extract the Interaction from a Fitted Point Process Model","topics":["fitin","fitin.ppm","fitin.profilepl"]},{"page":"fitted.mppm","title":"Fitted Conditional Intensity for Multiple Point Process Model","topics":["fitted.mppm"]},{"page":"fitted.ppm","title":"Fitted Conditional Intensity for Point Process Model","topics":["fitted.ppm"]},{"page":"fitted.slrm","title":"Fitted Probabilities for Spatial Logistic Regression","topics":["fitted.slrm"]},{"page":"fixef.mppm","title":"Extract Fixed Effects from Point Process Model","topics":["fixef.mppm"]},{"page":"formula.ppm","title":"Model Formulae for Gibbs Point Process Models","topics":["formula.ppm","terms.ppm"]},{"page":"Gcom","title":"Model Compensator of Nearest Neighbour Function","topics":["Gcom"]},{"page":"Geyer","title":"Geyer's Saturation Point Process Model","topics":["Geyer"]},{"page":"Gres","title":"Residual G Function","topics":["Gres"]},{"page":"Hardcore","title":"The Hard Core Point Process Model","topics":["Hardcore"]},{"page":"hardcoredist","title":"Extract the Hard Core Distance of a Point Process Model","topics":["hardcoredist","hardcoredist.fii","hardcoredist.ppm"]},{"page":"harmonic","title":"Basis for Harmonic Functions","topics":["harmonic"]},{"page":"harmonise.msr","title":"Make Measures Compatible","topics":["harmonise.msr"]},{"page":"HierHard","title":"The Hierarchical Hard Core Point Process Model","topics":["HierHard"]},{"page":"hierpair.family","title":"Hierarchical Pairwise Interaction Process Family","topics":["hierpair.family"]},{"page":"HierStrauss","title":"The Hierarchical Strauss Point Process Model","topics":["HierStrauss"]},{"page":"HierStraussHard","title":"The Hierarchical Strauss Hard Core Point Process Model","topics":["HierStraussHard"]},{"page":"Hybrid","title":"Hybrid Interaction Point Process Model","topics":["Hybrid"]},{"page":"hybrid.family","title":"Hybrid Interaction Family","topics":["hybrid.family"]},{"page":"ic.kppm","title":"Model selection criteria for the intensity function of a point process","topics":["ic","ic.kppm","ic.ppm"]},{"page":"improve.kppm","title":"Improve Intensity Estimate of Fitted Cluster Point Process Model","topics":["improve.kppm"]},{"page":"influence.ppm","title":"Influence Measure for Spatial Point Process Model","topics":["influence.ppm"]},{"page":"inforder.family","title":"Infinite Order Interaction Family","topics":["inforder.family"]},{"page":"integral.msr","title":"Integral of a Measure","topics":["integral.msr"]},{"page":"intensity.dppm","title":"Intensity of Determinantal Point Process Model","topics":["intensity.detpointprocfamily","intensity.dppm"]},{"page":"intensity.ppm","title":"Intensity of Fitted Point Process Model","topics":["intensity.ppm"]},{"page":"intensity.slrm","title":"Intensity of Fitted Spatial Logistic Regression Model","topics":["intensity.slrm"]},{"page":"interactionorder","title":"Determine the Order of Interpoint Interaction in a Model","topics":["interactionorder","interactionorder.fii","interactionorder.interact","interactionorder.isf","interactionorder.ppm"]},{"page":"ippm","title":"Fit Point Process Model Involving Irregular Trend Parameters","topics":["ippm"]},{"page":"is.dppm","title":"Recognise Fitted Determinantal Point Process Models","topics":["is.dppm"]},{"page":"is.hybrid","title":"Test Whether Object is a Hybrid","topics":["is.hybrid","is.hybrid.interact","is.hybrid.ppm"]},{"page":"is.marked.ppm","title":"Test Whether A Point Process Model is Marked","topics":["is.marked.ppm"]},{"page":"is.multitype.ppm","title":"Test Whether A Point Process Model is Multitype","topics":["is.multitype.ppm"]},{"page":"is.poissonclusterprocess","title":"Recognise Poisson Cluster Process Models","topics":["is.poissonclusterprocess","is.poissonclusterprocess.default","is.poissonclusterprocess.kppm","is.poissonclusterprocess.zclustermodel"]},{"page":"is.ppm","title":"Test Whether An Object Is A Fitted Point Process Model","topics":["is.kppm","is.lppm","is.ppm","is.slrm"]},{"page":"is.stationary.ppm","title":"Recognise Stationary and Poisson Point Process Models","topics":["is.poisson.interact","is.poisson.kppm","is.poisson.ppm","is.poisson.slrm","is.stationary.detpointprocfamily","is.stationary.dppm","is.stationary.kppm","is.stationary.ppm","is.stationary.slrm"]},{"page":"isf.object","title":"Interaction Structure Family Objects","topics":["isf.object"]},{"page":"Kcom","title":"Model Compensator of K Function","topics":["Kcom"]},{"page":"Kmodel","title":"K Function or Pair Correlation Function of a Point Process Model","topics":["Kmodel","pcfmodel"]},{"page":"Kmodel.dppm","title":"K-function or Pair Correlation Function of a Determinantal Point Process Model","topics":["Kmodel.detpointprocfamily","Kmodel.dppm","pcfmodel.detpointprocfamily","pcfmodel.dppm"]},{"page":"Kmodel.kppm","title":"K Function or Pair Correlation Function of Cluster Model or Cox model","topics":["Kmodel.kppm","pcfmodel.kppm"]},{"page":"Kmodel.ppm","title":"K Function or Pair Correlation Function of Gibbs Point Process model","topics":["Kmodel.ppm","pcfmodel.ppm"]},{"page":"kppm","title":"Fit Cluster or Cox Point Process Model","topics":["kppm","kppm.formula","kppm.ppp","kppm.quad"]},{"page":"Kres","title":"Residual K Function","topics":["Kres"]},{"page":"LambertW","title":"Lambert's W Function","topics":["LambertW"]},{"page":"LennardJones","title":"The Lennard-Jones Potential","topics":["LennardJones"]},{"page":"leverage.ppm","title":"Leverage Measure for Spatial Point Process Model","topics":["leverage","leverage.ppm"]},{"page":"leverage.slrm","title":"Leverage and Influence Diagnostics for Spatial Logistic Regression","topics":["dfbetas.slrm","dffit.slrm","influence.slrm","leverage.slrm"]},{"page":"lgcp.estK","title":"Fit a Log-Gaussian Cox Point Process by Minimum Contrast","topics":["lgcp.estK"]},{"page":"lgcp.estpcf","title":"Fit a Log-Gaussian Cox Point Process by Minimum Contrast","topics":["lgcp.estpcf"]},{"page":"logLik.dppm","title":"Log Likelihood and AIC for Fitted Determinantal Point Process Model","topics":["AIC.dppm","extractAIC.dppm","logLik.dppm","nobs.dppm"]},{"page":"logLik.kppm","title":"Log Likelihood and AIC for Fitted Cox or Cluster Point Process Model","topics":["AIC.kppm","extractAIC.kppm","logLik.kppm","nobs.kppm"]},{"page":"logLik.mppm","title":"Log Likelihood and AIC for Multiple Point Process Model","topics":["AIC.mppm","extractAIC.mppm","getCall.mppm","logLik.mppm","nobs.mppm","terms.mppm"]},{"page":"logLik.ppm","title":"Log Likelihood and AIC for Point Process Model","topics":["AIC.ppm","deviance.ppm","extractAIC.ppm","logLik.ppm","nobs.ppm"]},{"page":"logLik.slrm","title":"Loglikelihood of Spatial Logistic Regression","topics":["logLik.slrm"]},{"page":"lurking","title":"Lurking Variable Plot","topics":["lurking","lurking.ppm","lurking.ppp"]},{"page":"lurking.mppm","title":"Lurking Variable Plot for Multiple Point Patterns","topics":["lurking.mppm"]},{"page":"matclust.estK","title":"Fit the Matern Cluster Point Process by Minimum Contrast","topics":["matclust.estK"]},{"page":"matclust.estpcf","title":"Fit the Matern Cluster Point Process by Minimum Contrast Using Pair Correlation","topics":["matclust.estpcf"]},{"page":"measureContinuous","title":"Discrete and Continuous Components of a Measure","topics":["measureContinuous","measureDiscrete"]},{"page":"measureVariation","title":"Positive and Negative Parts, and Variation, of a Measure","topics":["measureNegative","measurePositive","measureVariation","totalVariation"]},{"page":"measureWeighted","title":"Weighted Version of a Measure","topics":["measureWeighted"]},{"page":"methods.dppm","title":"Methods for Determinantal Point Process Models","topics":["coef.dppm","formula.dppm","labels.dppm","methods.dppm","print.dppm","terms.dppm"]},{"page":"methods.fii","title":"Methods for Fitted Interactions","topics":["coef.fii","coef.summary.fii","coef<-.fii","methods.fii","plot.fii","print.fii","print.summary.fii","summary.fii"]},{"page":"methods.influence.ppm","title":"Methods for Influence Objects","topics":["as.owin.influence.ppm","as.ppp.influence.ppm","domain.influence.ppm","integral.influence.ppm","methods.influence.ppm","Smooth.influence.ppm","Window.influence.ppm"]},{"page":"methods.kppm","title":"Methods for Cluster Point Process Models","topics":["coef.kppm","formula.kppm","labels.kppm","methods.kppm","print.kppm","terms.kppm"]},{"page":"methods.leverage.ppm","title":"Methods for Leverage Objects","topics":["as.im.leverage.ppm","as.owin.leverage.ppm","domain.leverage.ppm","integral.leverage.ppm","mean.leverage.ppm","methods.leverage.ppm","Smooth.leverage.ppm","Window.leverage.ppm"]},{"page":"methods.objsurf","title":"Methods for Objective Function Surfaces","topics":["contour.objsurf","image.objsurf","methods.objsurf","persp.objsurf","plot.objsurf","print.objsurf","print.summary.objsurf","summary.objsurf"]},{"page":"methods.slrm","title":"Methods for Spatial Logistic Regression Models","topics":["deviance.slrm","formula.slrm","labels.slrm","methods.slrm","print.slrm","summary.slrm","terms.slrm","update.slrm"]},{"page":"methods.traj","title":"Methods for Trajectories of Function Evaluations","topics":["lines.traj","methods.traj","plot.traj","print.traj"]},{"page":"methods.zclustermodel","title":"Methods for Cluster Models","topics":["clusterradius.zclustermodel","intensity.zclustermodel","Kmodel.zclustermodel","methods.zclustermodel","pcfmodel.zclustermodel","predict.zclustermodel","print.zclustermodel","reach.zclustermodel"]},{"page":"methods.zgibbsmodel","title":"Methods for Gibbs Models","topics":["as.interact.zgibbsmodel","as.isf.zgibbsmodel","intensity.zgibbsmodel","interactionorder.zgibbsmodel","is.poisson.zgibbsmodel","is.stationary.zgibbsmodel","methods.zgibbsmodel","print.zgibbsmodel"]},{"page":"mincontrast","title":"Method of Minimum Contrast","topics":["mincontrast"]},{"page":"model.depends","title":"Identify Covariates Involved in each Model Term","topics":["has.offset","has.offset.term","model.covariates","model.depends","model.is.additive"]},{"page":"model.frame.ppm","title":"Extract the Variables in a Point Process Model","topics":["model.frame.dppm","model.frame.kppm","model.frame.ppm","model.frame.slrm"]},{"page":"model.images","title":"Compute Images of Constructed Covariates","topics":["model.images","model.images.dppm","model.images.kppm","model.images.ppm","model.images.slrm"]},{"page":"model.matrix.mppm","title":"Extract Design Matrix of Point Process Model for Several Point Patterns","topics":["model.matrix.mppm"]},{"page":"model.matrix.ppm","title":"Extract Design Matrix from Point Process Model","topics":["model.matrix.dppm","model.matrix.ippm","model.matrix.kppm","model.matrix.ppm"]},{"page":"model.matrix.slrm","title":"Extract Design Matrix from Spatial Logistic Regression Model","topics":["model.matrix.slrm"]},{"page":"mppm","title":"Fit Point Process Model to Several Point Patterns","topics":["mppm"]},{"page":"msr","title":"Signed or Vector-Valued Measure","topics":["msr"]},{"page":"MultiHard","title":"The Multitype Hard Core Point Process Model","topics":["MultiHard"]},{"page":"MultiStrauss","title":"The Multitype Strauss Point Process Model","topics":["MultiStrauss"]},{"page":"MultiStraussHard","title":"The Multitype/Hard Core Strauss Point Process Model","topics":["MultiStraussHard"]},{"page":"npfun","title":"Dummy Function Returns Number of Points","topics":["npfun"]},{"page":"objsurf","title":"Objective Function Surface","topics":["objsurf","objsurf.dppm","objsurf.kppm","objsurf.minconfit"]},{"page":"Ops.msr","title":"Arithmetic Operations on Measures","topics":["Ops.msr"]},{"page":"Ord","title":"Generic Ord Interaction model","topics":["Ord"]},{"page":"ord.family","title":"Ord Interaction Process Family","topics":["ord.family"]},{"page":"OrdThresh","title":"Ord's Interaction model","topics":["OrdThresh"]},{"page":"PairPiece","title":"The Piecewise Constant Pairwise Interaction Point Process Model","topics":["PairPiece"]},{"page":"pairsat.family","title":"Saturated Pairwise Interaction Point Process Family","topics":["pairsat.family"]},{"page":"Pairwise","title":"Generic Pairwise Interaction model","topics":["Pairwise"]},{"page":"pairwise.family","title":"Pairwise Interaction Process Family","topics":["pairwise.family"]},{"page":"palmdiagnose","title":"Diagnostic based on Palm Intensity","topics":["palmdiagnose"]},{"page":"panel.contour","title":"Panel Plots using Colour Image or Contour Lines","topics":["panel.contour","panel.histogram","panel.image"]},{"page":"panysib","title":"Probability that a Point Has Any Siblings","topics":["panysib"]},{"page":"parameters","title":"Extract Model Parameters in Understandable Form","topics":["parameters","parameters.dppm","parameters.fii","parameters.interact","parameters.kppm","parameters.ppm","parameters.profilepl","parameters.slrm"]},{"page":"parres","title":"Partial Residuals for Point Process Model","topics":["parres"]},{"page":"Penttinen","title":"Penttinen Interaction","topics":["Penttinen"]},{"page":"plot.dppm","title":"Plot a fitted determinantal point process","topics":["plot.dppm"]},{"page":"plot.influence.ppm","title":"Plot Influence Measure","topics":["plot.influence.ppm"]},{"page":"plot.kppm","title":"Plot a fitted cluster point process","topics":["plot.kppm"]},{"page":"plot.leverage.ppm","title":"Plot Leverage Function","topics":["contour.leverage.ppm","persp.leverage.ppm","plot.leverage.ppm"]},{"page":"plot.mppm","title":"plot a Fitted Multiple Point Process Model","topics":["plot.mppm"]},{"page":"plot.msr","title":"Plot a Signed or Vector-Valued Measure","topics":["plot.msr"]},{"page":"plot.palmdiag","title":"Plot the Palm Intensity Diagnostic","topics":["plot.palmdiag"]},{"page":"plot.plotppm","title":"Plot a plotppm Object Created by plot.ppm","topics":["plot.plotppm"]},{"page":"plot.ppm","title":"plot a Fitted Point Process Model","topics":["plot.ppm"]},{"page":"plot.profilepl","title":"Plot Profile Likelihood","topics":["plot.profilepl"]},{"page":"plot.rppm","title":"Plot a Recursively Partitioned Point Process Model","topics":["plot.rppm"]},{"page":"plot.slrm","title":"Plot a Fitted Spatial Logistic Regression","topics":["plot.slrm"]},{"page":"Poisson","title":"Poisson Point Process Model","topics":["Poisson"]},{"page":"polynom","title":"Polynomial in One or Two Variables","topics":["polynom"]},{"page":"ppm","title":"Fit Point Process Model to Data","topics":["ppm","ppm.formula"]},{"page":"ppm.object","title":"Class of Fitted Point Process Models","topics":["methods.ppm","ppm.object"]},{"page":"ppm.ppp","title":"Fit Point Process Model to Point Pattern Data","topics":["ppm.ppp","ppm.quad"]},{"page":"ppmInfluence","title":"Leverage and Influence Measures for Spatial Point Process Model","topics":["ppmInfluence"]},{"page":"predict.dppm","title":"Prediction from a Fitted Determinantal Point Process Model","topics":["fitted.dppm","predict.dppm"]},{"page":"predict.kppm","title":"Prediction from a Fitted Cluster Point Process Model","topics":["fitted.kppm","predict.kppm"]},{"page":"predict.mppm","title":"Prediction for Fitted Multiple Point Process Model","topics":["predict.mppm"]},{"page":"predict.ppm","title":"Prediction from a Fitted Point Process Model","topics":["predict.ppm"]},{"page":"predict.rppm","title":"Make Predictions From a Recursively Partitioned Point Process Model","topics":["fitted.rppm","predict.rppm"]},{"page":"predict.slrm","title":"Predicted or Fitted Values from Spatial Logistic Regression","topics":["predict.slrm"]},{"page":"print.ppm","title":"Print a Fitted Point Process Model","topics":["print.ppm"]},{"page":"profilepl","title":"Fit Models by Profile Maximum Pseudolikelihood or AIC","topics":["profilepl"]},{"page":"prune.rppm","title":"Prune a Recursively Partitioned Point Process Model","topics":["prune.rppm"]},{"page":"pseudoR2","title":"Calculate Pseudo-R-Squared for Point Process Model","topics":["pseudoR2","pseudoR2.ppm","pseudoR2.slrm"]},{"page":"psib","title":"Sibling Probability of Cluster Point Process","topics":["psib","psib.kppm"]},{"page":"psst","title":"Pseudoscore Diagnostic For Fitted Model against General Alternative","topics":["psst"]},{"page":"psstA","title":"Pseudoscore Diagnostic For Fitted Model against Area-Interaction Alternative","topics":["psstA"]},{"page":"psstG","title":"Pseudoscore Diagnostic For Fitted Model against Saturation Alternative","topics":["psstG"]},{"page":"qqplot.ppm","title":"Q-Q Plot of Residuals from Fitted Point Process Model","topics":["qqplot.ppm"]},{"page":"quad.ppm","title":"Extract Quadrature Scheme Used to Fit a Point Process Model","topics":["quad.ppm"]},{"page":"quadrat.test.mppm","title":"Chi-Squared Test for Multiple Point Process Model Based on Quadrat Counts","topics":["quadrat.test.mppm"]},{"page":"quadrat.test","title":"Dispersion Test for Spatial Point Pattern Based on Quadrat Counts","topics":["quadrat.test.ppm","quadrat.test.slrm"]},{"page":"ranef.mppm","title":"Extract Random Effects from Point Process Model","topics":["ranef.mppm"]},{"page":"rdpp","title":"Simulation of a Determinantal Point Process","topics":["rdpp"]},{"page":"reach","title":"Interaction Distance of a Point Process Model","topics":["reach.fii","reach.interact","reach.ppm"]},{"page":"reach.dppm","title":"Range of Interaction for a Determinantal Point Process Model","topics":["reach.detpointprocfamily","reach.dppm"]},{"page":"reach.kppm","title":"Range of Interaction for a Cox or Cluster Point Process Model","topics":["reach.kppm"]},{"page":"relrisk.ppm","title":"Parametric Estimate of Spatially-Varying Relative Risk","topics":["relrisk.ppm"]},{"page":"repul","title":"Repulsiveness Index of a Determinantal Point Process Model","topics":["repul","repul.dppm"]},{"page":"residualMeasure","title":"Residual Measure for an Observed Point Pattern and a Fitted Intensity","topics":["residualMeasure"]},{"page":"residuals.dppm","title":"Residuals for Fitted Determinantal Point Process Model","topics":["residuals.dppm"]},{"page":"residuals.kppm","title":"Residuals for Fitted Cox or Cluster Point Process Model","topics":["residuals.kppm"]},{"page":"residuals.mppm","title":"Residuals for Point Process Model Fitted to Multiple Point Patterns","topics":["residuals.mppm"]},{"page":"residuals.ppm","title":"Residuals for Fitted Point Process Model","topics":["residuals.ppm"]},{"page":"residuals.rppm","title":"Residuals for Recursively Partitioned Point Process Model","topics":["residuals.rppm"]},{"page":"residuals.slrm","title":"Residuals for Fitted Spatial Logistic Regression Model","topics":["residuals.slrm"]},{"page":"response","title":"Extract the Values of the Response from a Fitted Model","topics":["response","response.dppm","response.glm","response.kppm","response.lm","response.mppm","response.ppm","response.rppm","response.slrm"]},{"page":"rex","title":"Richardson Extrapolation","topics":["rex"]},{"page":"rhohat","title":"Nonparametric Estimate of Intensity as Function of a Covariate","topics":["rhohat.ppm","rhohat.slrm"]},{"page":"rmh.ppm","title":"Simulate from a Fitted Point Process Model","topics":["rmh.ppm"]},{"page":"rmhmodel.ppm","title":"Interpret Fitted Model for Metropolis-Hastings Simulation.","topics":["rmhmodel.ppm"]},{"page":"roc","title":"Receiver Operating Characteristic","topics":["roc.kppm","roc.ppm","roc.slrm"]},{"page":"rppm","title":"Recursively Partitioned Point Process Model","topics":["rppm"]},{"page":"SatPiece","title":"Piecewise Constant Saturated Pairwise Interaction Point Process Model","topics":["SatPiece"]},{"page":"Saturated","title":"Saturated Pairwise Interaction model","topics":["Saturated"]},{"page":"simulate.dppm","title":"Simulation of Determinantal Point Process Model","topics":["simulate.detpointprocfamily","simulate.dppm"]},{"page":"simulate.kppm","title":"Simulate a Fitted Cluster Point Process Model","topics":["simulate.kppm"]},{"page":"simulate.mppm","title":"Simulate a Point Process Model Fitted to Several Point Patterns","topics":["simulate.mppm"]},{"page":"simulate.ppm","title":"Simulate a Fitted Gibbs Point Process Model","topics":["simulate.ppm"]},{"page":"simulate.slrm","title":"Simulate a Fitted Spatial Logistic Regression Model","topics":["simulate.slrm"]},{"page":"slrm","title":"Spatial Logistic Regression","topics":["slrm"]},{"page":"Smooth.msr","title":"Smooth a Signed or Vector-Valued Measure","topics":["Smooth.msr"]},{"page":"Softcore","title":"The Soft Core Point Process Model","topics":["Softcore"]},{"page":"split.msr","title":"Divide a Measure into Parts","topics":["split.msr"]},{"page":"Strauss","title":"The Strauss Point Process Model","topics":["Strauss"]},{"page":"StraussHard","title":"The Strauss / Hard Core Point Process Model","topics":["StraussHard"]},{"page":"subfits","title":"Extract List of Individual Point Process Models","topics":["subfits","subfits.new","subfits.old"]},{"page":"suffstat","title":"Sufficient Statistic of Point Process Model","topics":["suffstat"]},{"page":"summary.dppm","title":"Summarizing a Fitted Determinantal Point Process Model","topics":["print.summary.dppm","summary.dppm"]},{"page":"summary.kppm","title":"Summarizing a Fitted Cox or Cluster Point Process Model","topics":["print.summary.kppm","summary.kppm"]},{"page":"summary.ppm","title":"Summarizing a Fitted Point Process Model","topics":["print.summary.ppm","summary.ppm"]},{"page":"thomas.estK","title":"Fit the Thomas Point Process by Minimum Contrast","topics":["thomas.estK"]},{"page":"thomas.estpcf","title":"Fit the Thomas Point Process by Minimum Contrast","topics":["thomas.estpcf"]},{"page":"traj","title":"Extract trajectory of function evaluations","topics":["traj"]},{"page":"triplet.family","title":"Triplet Interaction Family","topics":["triplet.family"]},{"page":"Triplets","title":"The Triplet Point Process Model","topics":["Triplets"]},{"page":"unitname","title":"Name for Unit of Length","topics":["unitname.dppm","unitname.kppm","unitname.minconfit","unitname.ppm","unitname.slrm","unitname<-.dppm","unitname<-.kppm","unitname<-.minconfit","unitname<-.ppm","unitname<-.slrm"]},{"page":"unstack.msr","title":"Separate a Vector Measure into its Scalar Components","topics":["unstack.msr"]},{"page":"update.detpointprocfamily","title":"Set Parameter Values in a Determinantal Point Process Model","topics":["update.detpointprocfamily"]},{"page":"update.dppm","title":"Update a Fitted Determinantal Point Process Model","topics":["update.dppm"]},{"page":"update.interact","title":"Update an Interpoint Interaction","topics":["update.interact"]},{"page":"update.kppm","title":"Update a Fitted Cluster Point Process Model","topics":["update.kppm"]},{"page":"update.ppm","title":"Update a Fitted Point Process Model","topics":["update.ppm"]},{"page":"update.rppm","title":"Update a Recursively Partitioned Point Process Model","topics":["update.rppm"]},{"page":"valid","title":"Check Whether Point Process Model is Valid","topics":["valid"]},{"page":"valid.detpointprocfamily","title":"Check Validity of a Determinantal Point Process Model","topics":["valid.detpointprocfamily"]},{"page":"valid.ppm","title":"Check Whether Point Process Model is Valid","topics":["valid.ppm"]},{"page":"valid.slrm","title":"Check Whether Spatial Logistic Regression Model is Valid","topics":["valid.slrm"]},{"page":"varcount","title":"Predicted Variance of the Number of Points","topics":["varcount"]},{"page":"vargamma.estK","title":"Fit the Neyman-Scott Cluster Point Process with Variance Gamma kernel","topics":["vargamma.estK"]},{"page":"vargamma.estpcf","title":"Fit the Neyman-Scott Cluster Point Process with Variance Gamma kernel","topics":["vargamma.estpcf"]},{"page":"vcov.kppm","title":"Variance-Covariance Matrix for a Fitted Cluster Point Process Model","topics":["vcov.kppm"]},{"page":"vcov.mppm","title":"Calculate Variance-Covariance Matrix for Fitted Multiple Point Process Model","topics":["vcov.mppm"]},{"page":"vcov.ppm","title":"Variance-Covariance Matrix for a Fitted Point Process Model","topics":["vcov.ppm"]},{"page":"vcov.slrm","title":"Variance-Covariance Matrix for a Fitted Spatial Logistic Regression","topics":["vcov.slrm"]},{"page":"Window.ppm","title":"Extract Window of Spatial Object","topics":["Window.dppm","Window.kppm","Window.msr","Window.ppm","Window.slrm"]},{"page":"with.msr","title":"Evaluate Expression Involving Components of a Measure","topics":["with.msr"]},{"page":"zclustermodel","title":"Cluster Point Process Model","topics":["zclustermodel"]},{"page":"zgibbsmodel","title":"Gibbs Model","topics":["zgibbsmodel"]}],"_readme":"https://github.com/spatstat/spatstat.model/raw/HEAD/README.md","_rundeps":["abind","deldir","goftest","lattice","Matrix","mgcv","nlme","polyclip","rpart","spatstat.data","spatstat.explore","spatstat.geom","spatstat.random","spatstat.sparse","spatstat.univar","spatstat.utils","tensor"],"_score":8.94102543671808,"_indexed":true,"_nocasepkg":"spatstat.model","_universes":["spatstat","baddstats"],"_binaries":[]}
{"Package":"spatstat","Version":"3.3-0","Date":"2024-11-20","Title":"Spatial Point Pattern Analysis, Model-Fitting, Simulation, Tests","Authors@R":"c(person(\"Adrian\", \"Baddeley\", \nrole = c(\"aut\", \"cre\"),\nemail = \"Adrian.Baddeley@curtin.edu.au\",\ncomment = c(ORCID=\"0000-0001-9499-8382\")),\nperson(\"Rolf\", \"Turner\",\nrole = \"aut\",\nemail=\"rolfturner@posteo.net\",\ncomment=c(ORCID=\"0000-0001-5521-5218\")),\nperson(\"Ege\",   \"Rubak\",\nrole = \"aut\",\nemail = \"rubak@math.aau.dk\",\ncomment=c(ORCID=\"0000-0002-6675-533X\")))","Maintainer":"Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>","Description":"Comprehensive open-source toolbox for analysing Spatial\nPoint Patterns. Focused mainly on two-dimensional point\npatterns, including multitype/marked points, in any spatial\nregion. Also supports three-dimensional point patterns,\nspace-time point patterns in any number of dimensions, point\npatterns on a linear network, and patterns of other geometrical\nobjects. Supports spatial covariate data such as pixel images.\nContains over 3000 functions for plotting spatial data,\nexploratory data analysis, model-fitting, simulation, spatial\nsampling, model diagnostics, and formal inference. Data types\ninclude point patterns, line segment patterns, spatial windows,\npixel images, tessellations, and linear networks. Exploratory\nmethods include quadrat counts, K-functions and their\nsimulation envelopes, nearest neighbour distance and empty\nspace statistics, Fry plots, pair correlation function, kernel\nsmoothed intensity, relative risk estimation with\ncross-validated bandwidth selection, mark correlation\nfunctions, segregation indices, mark dependence diagnostics,\nand kernel estimates of covariate effects. Formal hypothesis\ntests of random pattern (chi-squared, Kolmogorov-Smirnov, Monte\nCarlo, Diggle-Cressie-Loosmore-Ford, Dao-Genton, two-stage\nMonte Carlo) and tests for covariate effects\n(Cox-Berman-Waller-Lawson, Kolmogorov-Smirnov, ANOVA) are also\nsupported. Parametric models can be fitted to point pattern\ndata using the functions ppm(), kppm(), slrm(), dppm() similar\nto glm(). Types of models include Poisson, Gibbs and Cox point\nprocesses, Neyman-Scott cluster processes, and determinantal\npoint processes. Models may involve dependence on covariates,\ninter-point interaction, cluster formation and dependence on\nmarks. Models are fitted by maximum likelihood, logistic\nregression, minimum contrast, and composite likelihood methods.\nA model can be fitted to a list of point patterns (replicated\npoint pattern data) using the function mppm(). The model can\ninclude random effects and fixed effects depending on the\nexperimental design, in addition to all the features listed\nabove. Fitted point process models can be simulated,\nautomatically. Formal hypothesis tests of a fitted model are\nsupported (likelihood ratio test, analysis of deviance, Monte\nCarlo tests) along with basic tools for model selection\n(stepwise(), AIC()) and variable selection (sdr). Tools for\nvalidating the fitted model include simulation envelopes,\nresiduals, residual plots and Q-Q plots, leverage and influence\ndiagnostics, partial residuals, and added variable plots.","License":"GPL (>= 2)","URL":"http://spatstat.org/","NeedsCompilation":"yes","ByteCompile":"true","BugReports":"https://github.com/spatstat/spatstat/issues","Repository":"https://spatstat.r-universe.dev","RemoteUrl":"https://github.com/spatstat/spatstat","RemoteRef":"HEAD","RemoteSha":"4b50cebe0df3013222dff9a4f237cf2f0932e9c1","Packaged":{"Date":"2024-12-27 02:42:09 UTC","User":"root"},"Author":"Adrian Baddeley [aut, cre] (<https://orcid.org/0000-0001-9499-8382>),\nRolf Turner [aut] (<https://orcid.org/0000-0001-5521-5218>),\nEge Rubak [aut] (<https://orcid.org/0000-0002-6675-533X>)","MD5sum":"2a572c245aef339b6ea7c5b601e9ef48","_user":"spatstat","_type":"src","_file":"spatstat_3.3-0.tar.gz","_fileid":"478c197da17df96cfb078b1136b3da05812c0cb9936a93bc9afdb8ba103361fc","_filesize":4927851,"_sha256":"478c197da17df96cfb078b1136b3da05812c0cb9936a93bc9afdb8ba103361fc","_created":"2024-12-27T02:42:09.000Z","_published":"2024-12-27T02:47:59.330Z","_upstream":"https://github.com/spatstat/spatstat","_commit":{"id":"4b50cebe0df3013222dff9a4f237cf2f0932e9c1","author":"Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>","committer":"Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>","message":"Tweak README\n","time":1732665920},"_maintainer":{"name":"Adrian Baddeley","email":"adrian.baddeley@curtin.edu.au","login":"baddstats","uuid":7161794,"orcid":"0000-0001-9499-8382"},"_distro":"noble","_host":"GitHub-Actions","_status":"success","_pkgdocs":"skipped","_winbinary":"success","_macbinary":"success","_wasmbinary":"none","_linuxdevel":"success","_windevel":"success","_buildurl":"https://github.com/r-universe/spatstat/actions/runs/12510945995","_registered":true,"_dependencies":[{"package":"R","version":">= 3.5.0","role":"Depends"},{"package":"spatstat.data","version":">= 3.1-4","role":"Depends"},{"package":"spatstat.univar","version":">= 3.1-1","role":"Depends"},{"package":"spatstat.geom","version":">= 3.3-4","role":"Depends"},{"package":"spatstat.random","version":">= 3.3-2","role":"Depends"},{"package":"spatstat.explore","version":">= 3.3-3","role":"Depends"},{"package":"spatstat.model","version":">= 3.3-3","role":"Depends"},{"package":"spatstat.linnet","version":">= 3.2-2","role":"Depends"},{"package":"utils","role":"Depends"},{"package":"spatstat.utils","version":">= 3.1-1","role":"Imports"}],"_owner":"spatstat","_selfowned":true,"_usedby":41,"_updates":[{"week":"2024-05","n":2},{"week":"2024-12","n":6},{"week":"2024-13","n":2},{"week":"2024-16","n":4},{"week":"2024-18","n":2},{"week":"2024-23","n":2},{"week":"2024-24","n":2},{"week":"2024-25","n":2},{"week":"2024-26","n":1},{"week":"2024-27","n":2},{"week":"2024-28","n":1},{"week":"2024-29","n":2},{"week":"2024-30","n":6},{"week":"2024-33","n":2},{"week":"2024-38","n":2},{"week":"2024-41","n":2},{"week":"2024-43","n":1},{"week":"2024-44","n":1},{"week":"2024-45","n":1},{"week":"2024-47","n":2},{"week":"2024-48","n":1}],"_tags":[{"name":"v3.1-0","date":"2024-07-06"},{"name":"v3.3-0","date":"2024-11-20"}],"_topics":["cluster-process","cox-point-process","gibbs-process","kernel-density","network-analysis","point-process","poisson-process","spatial-analysis","spatial-data","spatial-data-analysis","spatial-statistics","spatstat","statistical-methods","statistical-models","statistical-tests","statistics"],"_stars":200,"_contributions":{"baddstats":1676,"rubak":312,"antiphon":8,"biscio":5,"richierocks":2,"aj4x-evil":1,"michaelchirico":1,"t-pollington":1,"ute":1},"_userbio":{"uuid":8414375,"type":"organization","name":"The Spatstat Team"},"_downloads":{"count":16706,"source":"https://cranlogs.r-pkg.org/downloads/total/last-month/spatstat"},"_mentions":172,"_devurl":"https://github.com/spatstat/spatstat","_searchresults":5376,"_assets":["extra/citation.cff","extra/citation.html","extra/citation.json","extra/citation.txt","extra/contents.json","extra/NEWS.html","extra/NEWS.txt","extra/readme.html","extra/readme.md","extra/spatstat.html","manual.pdf"],"_homeurl":"https://github.com/spatstat/spatstat","_realowner":"spatstat","_cranurl":true,"_releases":[{"version":"1.0-1","date":"2002-01-21"},{"version":"1.1-3","date":"2002-05-20"},{"version":"1.2-1","date":"2002-08-07"},{"version":"1.3-1","date":"2003-03-24"},{"version":"1.3-2","date":"2003-05-06"},{"version":"1.3-3","date":"2003-10-14"},{"version":"1.3-4","date":"2003-11-13"},{"version":"1.4-3","date":"2004-02-03"},{"version":"1.4-4","date":"2004-02-13"},{"version":"1.4-5","date":"2004-03-26"},{"version":"1.4-6","date":"2004-05-24"},{"version":"1.5-1","date":"2004-06-17"},{"version":"1.5-3","date":"2004-09-11"},{"version":"1.5-4","date":"2004-09-25"},{"version":"1.5-5","date":"2004-11-08"},{"version":"1.5-6","date":"2004-11-16"},{"version":"1.5-7","date":"2004-11-30"},{"version":"1.5-8","date":"2005-01-25"},{"version":"1.5-9","date":"2005-02-08"},{"version":"1.5-10","date":"2005-02-21"},{"version":"1.6-1","date":"2005-03-14"},{"version":"1.6-2","date":"2005-03-30"},{"version":"1.6-3","date":"2005-04-12"},{"version":"1.6-4","date":"2005-04-19"},{"version":"1.6-5","date":"2005-04-21"},{"version":"1.6-6","date":"2005-05-10"},{"version":"1.6-7","date":"2005-05-25"},{"version":"1.6-8","date":"2005-06-14"},{"version":"1.6-9","date":"2005-07-01"},{"version":"1.6-11","date":"2005-07-28"},{"version":"1.7-11","date":"2005-07-28"},{"version":"1.6-12","date":"2005-09-14"},{"version":"1.7-12","date":"2005-10-06"},{"version":"1.7-13","date":"2005-10-27"},{"version":"1.8-1","date":"2005-11-24"},{"version":"1.8-2","date":"2005-12-05"},{"version":"1.8-3","date":"2005-12-21"},{"version":"1.8-4","date":"2006-01-09"},{"version":"1.8-5","date":"2006-01-19"},{"version":"1.8-6","date":"2006-02-23"},{"version":"1.8-7","date":"2006-03-02"},{"version":"1.8-9","date":"2006-04-19"},{"version":"1.8-8","date":"2006-04-21"},{"version":"1.9-0","date":"2006-05-03"},{"version":"1.9-1","date":"2006-05-30"},{"version":"1.9-2","date":"2006-06-06"},{"version":"1.9-3","date":"2006-06-21"},{"version":"1.9-4","date":"2006-08-03"},{"version":"1.9-5","date":"2006-08-22"},{"version":"1.9-6","date":"2006-09-29"},{"version":"1.10-1","date":"2006-10-19"},{"version":"1.10-2","date":"2006-11-09"},{"version":"1.10-3","date":"2006-11-20"},{"version":"1.11-0","date":"2007-01-12"},{"version":"1.11-1","date":"2007-02-01"},{"version":"1.11-2","date":"2007-03-12"},{"version":"1.11-3","date":"2007-03-20"},{"version":"1.11-4","date":"2007-04-16"},{"version":"1.11-5","date":"2007-05-14"},{"version":"1.11-6","date":"2007-05-18"},{"version":"1.11-7","date":"2007-06-11"},{"version":"1.11-8","date":"2007-07-28"},{"version":"1.12-0","date":"2007-08-25"},{"version":"1.12-1","date":"2007-09-28"},{"version":"1.12-2","date":"2007-10-27"},{"version":"1.12-3","date":"2007-11-03"},{"version":"1.12-4","date":"2007-12-19"},{"version":"1.12-5","date":"2008-01-10"},{"version":"1.12-6","date":"2008-02-04"},{"version":"1.12-7","date":"2008-02-11"},{"version":"1.12-8","date":"2008-02-26"},{"version":"1.12-9","date":"2008-03-21"},{"version":"1.13-0","date":"2008-04-14"},{"version":"1.13-1","date":"2008-04-24"},{"version":"1.13-2","date":"2008-05-16"},{"version":"1.13-3","date":"2008-06-23"},{"version":"1.13-4","date":"2008-07-18"},{"version":"1.14-0","date":"2008-07-28"},{"version":"1.14-1","date":"2008-07-29"},{"version":"1.14-2","date":"2008-09-08"},{"version":"1.14-3","date":"2008-09-28"},{"version":"1.14-4","date":"2008-10-16"},{"version":"1.14-5","date":"2008-10-23"},{"version":"1.14-6","date":"2008-11-07"},{"version":"1.14-7","date":"2008-11-17"},{"version":"1.14-8","date":"2008-12-10"},{"version":"1.14-9","date":"2008-12-17"},{"version":"1.14-10","date":"2009-02-03"},{"version":"1.15-0","date":"2009-03-02"},{"version":"1.15-1","date":"2009-04-01"},{"version":"1.15-2","date":"2009-04-16"},{"version":"1.15-3","date":"2009-05-14"},{"version":"1.15-4","date":"2009-06-16"},{"version":"1.16-0","date":"2009-07-02"},{"version":"1.16-1","date":"2009-07-27"},{"version":"1.16-2","date":"2009-08-23"},{"version":"1.16-3","date":"2009-10-13"},{"version":"1.17-0","date":"2009-10-22"},{"version":"1.17-1","date":"2009-11-06"},{"version":"1.17-2","date":"2009-11-10"},{"version":"1.17-4","date":"2009-12-17"},{"version":"1.17-5","date":"2010-01-06"},{"version":"1.17-6","date":"2010-02-09"},{"version":"1.18-0","date":"2010-03-10"},{"version":"1.18-1","date":"2010-03-19"},{"version":"1.18-2","date":"2010-04-10"},{"version":"1.18-3","date":"2010-04-19"},{"version":"1.18-4","date":"2010-05-02"},{"version":"1.19-0","date":"2010-05-16"},{"version":"1.19-1","date":"2010-05-25"},{"version":"1.19-2","date":"2010-06-09"},{"version":"1.19-3","date":"2010-06-17"},{"version":"1.20-1","date":"2010-07-26"},{"version":"1.20-2","date":"2010-08-10"},{"version":"1.20-3","date":"2010-08-24"},{"version":"1.20-5","date":"2010-10-25"},{"version":"1.21-0","date":"2010-11-05"},{"version":"1.21-1","date":"2010-11-11"},{"version":"1.21-2","date":"2010-11-29"},{"version":"1.21-3","date":"2011-01-17"},{"version":"1.21-4","date":"2011-01-20"},{"version":"1.21-5","date":"2011-02-10"},{"version":"1.21-5.1","date":"2011-03-21"},{"version":"1.21-6","date":"2011-03-26"},{"version":"1.22-0","date":"2011-04-28"},{"version":"1.22-1","date":"2011-05-19"},{"version":"1.22-2","date":"2011-06-15"},{"version":"1.22-3","date":"2011-06-17"},{"version":"1.23-0","date":"2011-07-24"},{"version":"1.23-1","date":"2011-08-01"},{"version":"1.23-2","date":"2011-08-11"},{"version":"1.23-3","date":"2011-08-12"},{"version":"1.23-4","date":"2011-09-09"},{"version":"1.23-5","date":"2011-09-23"},{"version":"1.23-6","date":"2011-10-11"},{"version":"1.24-1","date":"2011-10-23"},{"version":"1.24-2","date":"2011-11-11"},{"version":"1.25-0","date":"2011-12-06"},{"version":"1.25-1","date":"2011-12-21"},{"version":"1.25-2","date":"2012-01-19"},{"version":"1.25-3","date":"2012-02-05"},{"version":"1.25-4","date":"2012-02-29"},{"version":"1.25-5","date":"2012-03-14"},{"version":"1.26-0","date":"2012-04-08"},{"version":"1.26-1","date":"2012-04-19"},{"version":"1.27-0","date":"2012-05-16"},{"version":"1.28-0","date":"2012-06-11"},{"version":"1.28-1","date":"2012-06-29"},{"version":"1.28-2","date":"2012-08-23"},{"version":"1.29-0","date":"2012-10-14"},{"version":"1.30-0","date":"2012-12-23"},{"version":"1.31-0","date":"2013-01-17"},{"version":"1.31-1","date":"2013-03-01"},{"version":"1.31-1.1","date":"2013-04-25"},{"version":"1.31-2","date":"2013-04-26"},{"version":"1.31-3","date":"2013-05-27"},{"version":"1.32-0","date":"2013-08-13"},{"version":"1.33-0","date":"2013-09-05"},{"version":"1.34-0","date":"2013-10-24"},{"version":"1.34-1","date":"2013-11-03"},{"version":"1.35-0","date":"2013-12-12"},{"version":"1.36-0","date":"2014-02-18"},{"version":"1.37-0","date":"2014-05-09"},{"version":"1.38-0","date":"2014-08-15"},{"version":"1.38-1","date":"2014-08-28"},{"version":"1.39-0","date":"2014-10-23"},{"version":"1.39-1","date":"2014-10-24"},{"version":"1.40-0","date":"2014-12-31"},{"version":"1.41-1","date":"2015-02-27"},{"version":"1.42-0","date":"2015-06-01"},{"version":"1.42-1","date":"2015-06-05"},{"version":"1.42-2","date":"2015-06-29"},{"version":"1.43-0","date":"2015-10-08"},{"version":"1.44-0","date":"2015-12-23"},{"version":"1.44-1","date":"2015-12-29"},{"version":"1.45-0","date":"2016-03-10"},{"version":"1.45-2","date":"2016-05-09"},{"version":"1.46-1","date":"2016-07-08"},{"version":"1.47-0","date":"2016-10-12"},{"version":"1.48-0","date":"2016-12-22"},{"version":"1.49-0","date":"2017-02-08"},{"version":"1.50-0","date":"2017-03-23"},{"version":"1.51-0","date":"2017-05-08"},{"version":"1.52-1","date":"2017-08-16"},{"version":"1.53-2","date":"2017-10-08"},{"version":"1.54-0","date":"2017-11-21"},{"version":"1.55-0","date":"2018-01-29"},{"version":"1.55-1","date":"2018-04-05"},{"version":"1.56-0","date":"2018-06-15"},{"version":"1.56-1","date":"2018-08-01"},{"version":"1.57-1","date":"2018-11-04"},{"version":"1.58-2","date":"2019-01-10"},{"version":"1.59-0","date":"2019-04-08"},{"version":"1.60-1","date":"2019-06-23"},{"version":"1.61-0","date":"2019-09-22"},{"version":"1.62-2","date":"2019-12-10"},{"version":"1.63-0","date":"2020-01-23"},{"version":"1.63-2","date":"2020-02-23"},{"version":"1.63-3","date":"2020-03-01"},{"version":"1.64-1","date":"2020-05-12"},{"version":"2.0-1","date":"2021-03-14"},{"version":"2.1-0","date":"2021-04-03"},{"version":"2.2-0","date":"2021-06-23"},{"version":"2.3-0","date":"2021-12-12"},{"version":"2.3-3","date":"2022-02-21"},{"version":"2.3-4","date":"2022-04-01"},{"version":"3.0-2","date":"2022-11-10"},{"version":"3.0-3","date":"2023-01-28"},{"version":"3.0-5","date":"2023-04-22"},{"version":"3.0-6","date":"2023-05-17"},{"version":"3.0-7","date":"2023-10-30"},{"version":"3.0-8","date":"2024-03-26"},{"version":"3.1-1","date":"2024-07-15"},{"version":"3.2-1","date":"2024-09-22"},{"version":"3.3-0","date":"2024-11-20"}],"_exports":["beginner","bugfixes","foo","latest.changes","latest.news","plot.foo","print.autoexec","print.bugtable","print.changetable","spatstat.family"],"_help":[{"page":"spatstat-package","title":"The Spatstat Package","topics":["spatstat-package","spatstat"]},{"page":"beginner","title":"Print Introduction For Beginners","topics":["beginner"]},{"page":"bugfixes","title":"List Recent Bug Fixes","topics":["bugfixes"]},{"page":"foo","title":"Foo is Not a Real Name","topics":["foo","plot.foo"]},{"page":"latest.changes","title":"List Recent Significant Changes to a Function","topics":["latest.changes"]},{"page":"latest.news","title":"Print News About Latest Version of Package","topics":["latest.news"]},{"page":"spatstat.family","title":"Names of All Packages in the Spatstat Family","topics":["spatstat.family"]}],"_readme":"https://github.com/spatstat/spatstat/raw/HEAD/README.md","_rundeps":["abind","deldir","goftest","lattice","Matrix","mgcv","nlme","polyclip","rpart","spatstat.data","spatstat.explore","spatstat.geom","spatstat.linnet","spatstat.model","spatstat.random","spatstat.sparse","spatstat.univar","spatstat.utils","tensor"],"_vignettes":[{"source":"replicated.Rnw","filename":"replicated.pdf","title":"Analysing Replicated Point Patterns in Spatstat","engine":"utils::Sweave","headings":[],"created":"2014-08-11 19:34:10","modified":"2021-12-12 10:08:34","commits":7},{"source":"bugfixes.Rnw","filename":"bugfixes.pdf","title":"Bugs Fixed in Spatstat","engine":"utils::Sweave","headings":[],"created":"2018-07-27 05:41:23","modified":"2024-06-06 01:58:17","commits":57},{"source":"datasets.Rnw","filename":"datasets.pdf","title":"Datasets Provided for the Spatstat Package","engine":"utils::Sweave","headings":[],"created":"2014-11-19 09:15:41","modified":"2023-02-01 05:49:45","commits":28},{"source":"getstart.Rnw","filename":"getstart.pdf","title":"Getting Started with Spatstat","engine":"utils::Sweave","headings":[],"created":"2014-08-11 19:04:23","modified":"2021-12-12 10:08:34","commits":11},{"source":"fv.Rnw","filename":"fv.pdf","title":"Guide to Function Objects in Spatstat","engine":"utils::Sweave","headings":[],"created":"2023-07-21 05:53:52","modified":"2024-07-25 01:52:19","commits":6},{"source":"shapefiles.Rnw","filename":"shapefiles.pdf","title":"Handling shapefiles in the spatstat package","engine":"utils::Sweave","headings":[],"created":"2014-08-11 19:04:23","modified":"2024-03-20 16:38:52","commits":15},{"source":"updates.Rnw","filename":"updates.pdf","title":"Summary of Recent Updates to the Spatstat Family","engine":"utils::Sweave","headings":[],"created":"2014-08-11 19:36:46","modified":"2024-11-19 09:47:37","commits":176}],"_score":16.113644170295125,"_indexed":true,"_nocasepkg":"spatstat","_universes":["spatstat","baddstats"],"_binaries":[]}
{"Package":"spatstat.linnet","Version":"3.2-3","Date":"2024-11-19","Title":"Linear Networks Functionality of the 'spatstat' Family","Authors@R":"c(person(\"Adrian\", \"Baddeley\", \nrole = c(\"aut\", \"cre\", \"cph\"),\nemail = \"Adrian.Baddeley@curtin.edu.au\",\ncomment = c(ORCID=\"0000-0001-9499-8382\")),\nperson(\"Rolf\", \"Turner\",\nrole = c(\"aut\", \"cph\"),\nemail=\"rolfturner@posteo.net\",\ncomment=c(ORCID=\"0000-0001-5521-5218\")),\nperson(\"Ege\",   \"Rubak\",\nrole = c(\"aut\", \"cph\"),\nemail = \"rubak@math.aau.dk\",\ncomment=c(ORCID=\"0000-0002-6675-533X\")),\nperson(\"Greg\", \"McSwiggan\",\nrole = c(\"aut\", \"cph\")),\nperson(\"Tilman\", \"Davies\",\nrole = c(\"ctb\", \"cph\")),\nperson(\"Mehdi\", \"Moradi\",\nrole = c(\"ctb\", \"cph\")),\nperson(\"Suman\", \"Rakshit\",\nrole = c(\"ctb\", \"cph\")),\nperson(\"Ottmar\", \"Cronie\",\nrole = \"ctb\"))","Maintainer":"Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>","Description":"Defines types of spatial data on a linear network and\nprovides functionality for geometrical operations, data\nanalysis and modelling of data on a linear network, in the\n'spatstat' family of packages. Contains definitions and support\nfor linear networks, including creation of networks,\ngeometrical measurements, topological connectivity, geometrical\noperations such as inserting and deleting vertices,\nintersecting a network with another object, and interactive\nediting of networks. Data types defined on a network include\npoint patterns, pixel images, functions, and tessellations.\nExploratory methods include kernel estimation of intensity on a\nnetwork, K-functions and pair correlation functions on a\nnetwork, simulation envelopes, nearest neighbour distance and\nempty space distance, relative risk estimation with\ncross-validated bandwidth selection. Formal hypothesis tests of\nrandom pattern (chi-squared, Kolmogorov-Smirnov, Monte Carlo,\nDiggle-Cressie-Loosmore-Ford, Dao-Genton, two-stage Monte\nCarlo) and tests for covariate effects\n(Cox-Berman-Waller-Lawson, Kolmogorov-Smirnov, ANOVA) are also\nsupported. Parametric models can be fitted to point pattern\ndata using the function lppm() similar to glm(). Only Poisson\nmodels are implemented so far. Models may involve dependence on\ncovariates and dependence on marks. Models are fitted by\nmaximum likelihood. Fitted point process models can be\nsimulated, automatically. Formal hypothesis tests of a fitted\nmodel are supported (likelihood ratio test, analysis of\ndeviance, Monte Carlo tests) along with basic tools for model\nselection (stepwise(), AIC()) and variable selection (sdr).\nTools for validating the fitted model include simulation\nenvelopes, residuals, residual plots and Q-Q plots, leverage\nand influence diagnostics, partial residuals, and added\nvariable plots. Random point patterns on a network can be\ngenerated using a variety of models.","License":"GPL (>= 2)","URL":"http://spatstat.org/","NeedsCompilation":"yes","ByteCompile":"true","BugReports":"https://github.com/spatstat/spatstat.linnet/issues","Repository":"https://spatstat.r-universe.dev","RemoteUrl":"https://github.com/spatstat/spatstat.linnet","RemoteRef":"HEAD","RemoteSha":"ef0a898e67ce9c4ff76d06c0cd40c273d6ecbd00","Packaged":{"Date":"2024-12-19 05:53:39 UTC","User":"root"},"Author":"Adrian Baddeley [aut, cre, cph]\n(<https://orcid.org/0000-0001-9499-8382>),\nRolf Turner [aut, cph] (<https://orcid.org/0000-0001-5521-5218>),\nEge Rubak [aut, cph] (<https://orcid.org/0000-0002-6675-533X>),\nGreg McSwiggan [aut, cph],\nTilman Davies [ctb, cph],\nMehdi Moradi [ctb, cph],\nSuman Rakshit [ctb, cph],\nOttmar Cronie [ctb]","MD5sum":"b65f7e12ac0de455a50682ba6b722193","_user":"spatstat","_type":"src","_file":"spatstat.linnet_3.2-3.tar.gz","_fileid":"3b238b4cc12cc1d4f6f9ab138d11aa2266c263fa6e2e2fe896b4968ce618c9c0","_filesize":1209940,"_sha256":"3b238b4cc12cc1d4f6f9ab138d11aa2266c263fa6e2e2fe896b4968ce618c9c0","_created":"2024-12-19T05:53:39.000Z","_published":"2024-12-19T05:58:17.423Z","_upstream":"https://github.com/spatstat/spatstat.linnet","_commit":{"id":"ef0a898e67ce9c4ff76d06c0cd40c273d6ecbd00","author":"Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>","committer":"Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>","message":"Ready for CRAN\n","time":1732010019},"_maintainer":{"name":"Adrian Baddeley","email":"adrian.baddeley@curtin.edu.au","login":"baddstats","uuid":7161794,"orcid":"0000-0001-9499-8382"},"_distro":"noble","_host":"GitHub-Actions","_status":"success","_pkgdocs":"skipped","_winbinary":"success","_macbinary":"success","_wasmbinary":"none","_linuxdevel":"success","_windevel":"success","_buildurl":"https://github.com/r-universe/spatstat/actions/runs/12407068902","_registered":true,"_dependencies":[{"package":"R","version":">= 3.5.0","role":"Depends"},{"package":"stats","role":"Depends"},{"package":"graphics","role":"Depends"},{"package":"grDevices","role":"Depends"},{"package":"methods","role":"Depends"},{"package":"utils","role":"Depends"},{"package":"spatstat.data","version":">= 3.1-4","role":"Depends"},{"package":"spatstat.univar","version":">= 3.1-1","role":"Depends"},{"package":"spatstat.geom","version":">= 3.3-4","role":"Depends"},{"package":"spatstat.random","version":">= 3.3-2","role":"Depends"},{"package":"spatstat.explore","version":">= 3.3-3","role":"Depends"},{"package":"spatstat.model","version":">= 3.3-2","role":"Depends"},{"package":"Matrix","role":"Imports"},{"package":"spatstat.utils","version":">= 3.1-1","role":"Imports"},{"package":"spatstat.sparse","version":">= 3.1-0","role":"Imports"},{"package":"goftest","role":"Suggests"},{"package":"locfit","role":"Suggests"},{"package":"spatstat","version":">= 3.0","role":"Suggests"}],"_owner":"spatstat","_selfowned":true,"_usedby":43,"_updates":[{"week":"2024-04","n":1},{"week":"2024-05","n":2},{"week":"2024-06","n":1},{"week":"2024-12","n":1},{"week":"2024-16","n":1},{"week":"2024-18","n":1},{"week":"2024-23","n":2},{"week":"2024-24","n":6},{"week":"2024-25","n":2},{"week":"2024-26","n":1},{"week":"2024-27","n":1},{"week":"2024-28","n":1},{"week":"2024-29","n":1},{"week":"2024-30","n":1},{"week":"2024-36","n":1},{"week":"2024-38","n":2},{"week":"2024-45","n":1},{"week":"2024-47","n":1}],"_tags":[{"name":"v3.2-0","date":"2024-07-06"},{"name":"v3.2-3","date":"2024-11-19"}],"_topics":["density-estimation","heat-equation","kernel-density-estimation","network-analysis","point-processes","spatial-data-analysis","statistical-analysis","statistical-inference","statistical-models"],"_stars":6,"_contributions":{"baddstats":170,"rubak":5},"_userbio":{"uuid":8414375,"type":"organization","name":"The Spatstat Team"},"_downloads":{"count":16531,"source":"https://cranlogs.r-pkg.org/downloads/total/last-month/spatstat.linnet"},"_mentions":172,"_devurl":"https://github.com/spatstat/spatstat.linnet","_searchresults":32,"_assets":["extra/citation.cff","extra/citation.html","extra/citation.json","extra/citation.txt","extra/contents.json","extra/NEWS.html","extra/NEWS.txt","extra/readme.html","extra/readme.md","extra/spatstat.linnet.html","manual.pdf"],"_homeurl":"https://github.com/spatstat/spatstat.linnet","_realowner":"spatstat","_cranurl":true,"_releases":[{"version":"1.65-3","date":"2021-02-05"},{"version":"2.0-0","date":"2021-03-18"},{"version":"2.1-1","date":"2021-03-28"},{"version":"2.2-1","date":"2021-06-22"},{"version":"2.3-0","date":"2021-07-17"},{"version":"2.3-1","date":"2021-12-11"},{"version":"2.3-2","date":"2022-02-16"},{"version":"3.0-2","date":"2022-11-09"},{"version":"3.0-3","date":"2022-11-15"},{"version":"3.0-4","date":"2023-01-27"},{"version":"3.0-6","date":"2023-02-22"},{"version":"3.1-0","date":"2023-04-14"},{"version":"3.1-1","date":"2023-05-15"},{"version":"3.1-3","date":"2023-10-28"},{"version":"3.1-4","date":"2024-02-04"},{"version":"3.1-5","date":"2024-03-25"},{"version":"3.2-1","date":"2024-07-15"},{"version":"3.2-2","date":"2024-09-20"},{"version":"3.2-3","date":"2024-11-19"}],"_exports":["[.linim","[.linnet","[.lpp","[<-.linim","addVertices","affine.linim","affine.linnet","affine.lpp","anova.lppm","ApplyConnected","as.data.frame.linfun","as.data.frame.linim","as.data.frame.lintess","as.function.linfun","as.im.linim","as.linfun","as.linfun.linfun","as.linfun.linim","as.linfun.lintess","as.linim","as.linim.default","as.linim.linfun","as.linim.linim","as.linnet","as.linnet.linfun","as.linnet.linim","as.linnet.linnet","as.linnet.lintess","as.linnet.lpp","as.linnet.lppm","as.linnet.psp","as.lpp","as.owin.linfun","as.owin.linnet","as.owin.lintess","as.owin.lpp","as.owin.lppm","as.ppm.lppm","as.ppp.lpp","as.psp.linnet","as.psp.lpp","auc.lpp","auc.lppm","begins","berman.test.lpp","berman.test.lppm","boundingradius.linnet","branchlabelfun","bw.lppl","bw.relrisk.lpp","bw.relrisklpp","bw.voronoi","cdf.test.lpp","cdf.test.lppm","chop.linnet","circumradius.linnet","clickjoin","clicklpp","coef.lppm","Complex.linim","Complex.linimlist","connected.linnet","connected.lpp","countends","crossdist.lpp","crossing.linnet","cut.lpp","data.lppm","default.linnet.tolerance","delaunayNetwork","deletebranch","deletebranch.linnet","deletebranch.lpp","density.linnet","density.lpp","density.splitppx","densityEqualSplit","densityfun.lpp","densityHeat.lpp","densitypointsLPP","densityQuick.lpp","densityVoronoi.lpp","deviance.lppm","diameter.linnet","dirichletNetwork","distfun.lpp","distmap.lpp","divide.linnet","DoCountCrossEnds","DoCountEnds","domain.linfun","domain.lintess","domain.lpp","domain.lppm","emend.lppm","envelope.lpp","envelope.lppm","eval.linim","evaluateNetCovariate","evaluateNetCovariateAlongNetwork","evaluateNetCovariateAtPoints","exactlppm","extractAIC.lppm","extractbranch","extractbranch.linnet","extractbranch.lpp","FDMKERNEL","fitted.lppm","flatdensityatpointslpp","flatdensityfunlpp","formula.lppm","getglmdata.lppm","getglmfit.lppm","getglmsubset.lppm","hasglmfit.lppm","heatkernelapprox","identify.lpp","insertVertices","integral.linfun","integral.linim","intensity.lpp","intersect.lintess","is.connected.linnet","is.marked.lppm","is.multitype.lpp","is.multitype.lppm","is.poisson.exactlppm","is.poisson.lppm","is.stationary.exactlppm","is.stationary.lppm","joinVertices","ldtEngine","lineardirichlet","lineardisc","lineardiscEngine","lineardisclength","linearEuclidEngine","linearJinhom","linearK","linearKcross","linearKcross.inhom","linearKdot","linearKdot.inhom","linearKengine","linearKEuclid","linearKEuclidInhom","linearKinhom","linearKmulti","linearKmulti.inhom","linearKmultiEngine","linearmarkconnect","linearmarkequal","linearpcf","linearpcfcross","linearpcfcross.inhom","linearpcfdot","linearpcfdot.inhom","linearpcfengine","linearpcfEuclid","linearpcfEuclidInhom","linearpcfinhom","linearpcfmulti","linearpcfmulti.inhom","linearPCFmultiEngine","lineartileindex","linequad","linfun","linim","LinimListOp","LinimOp","linnet","lintess","lixellate","local2lpp","logLik.lppm","looHeatLPP","looVoronoiLPP","lpp","lppm","lppm.formula","lppm.lpp","makeLinnetTolerance","marks.linnet","marks.lintess","marks<-.linnet","marks<-.lintess","marks<-.lpp","Math.linim","Math.linimlist","mean.linim","median.linim","model.frame.lppm","model.images.lppm","model.matrix.lppm","nncross.lpp","nndist.lpp","nnfromvertex","nnfun.lpp","nnwhich.lpp","nobjects.lintess","nobs.lppm","nsegments.linnet","nsegments.lpp","nvertices.linnet","Ops.linim","Ops.linimlist","pairdist.lpp","pairs.linim","persp.linfun","persp.linim","pixellate.linnet","plot.linfun","plot.linim","plot.linnet","plot.lintess","plot.lpp","plot.lppm","points.lpp","pointsAlongNetwork","predict.exactlppm","predict.lppm","print.exactlppm","print.linfun","print.linim","print.linnet","print.lintess","print.lpp","print.lppm","print.summary.linim","print.summary.linnet","print.summary.lintess","print.summary.lpp","pseudoR2.lppm","qkdeEngine","quantile.linim","quantilefun.linim","rcelllpp","relrisk.lpp","repairNetwork","resampleNetworkDataFrame","rescale.linnet","rescale.lpp","resolve.heat.steps","resolve.lambda.lpp","response.exactlppm","response.lppm","rhohat.lpp","rhohat.lppm","rjitter.lpp","rjitterlpp","rlpp","rmaxEuclidean","roc.lpp","roc.lppm","rotate.linnet","rotate.lpp","rpoislpp","rSwitzerlpp","rThomaslpp","runiflpp","scalardilate.linim","scalardilate.linnet","scalardilate.lpp","sdr.lpp","shift.linim","shift.linnet","shift.lpp","simulate.lppm","Smooth.lpp","sortalongsegment","spatialCovariateEvidence.exactlppm","spatialCovariateEvidence.lppm","subset.lpp","summary.linfun","summary.linim","Summary.linim","Summary.linimlist","summary.linnet","summary.lintess","summary.lpp","summary.lppm","superimpose.lpp","terminalvertices","terms.lppm","text.lpp","thinNetwork","tile.lengths","tilenames.lintess","tilenames<-.lintess","traceTessLinnet","treebranchlabels","treeprune","unitname.linnet","unitname.lpp","unitname<-.linnet","unitname<-.lpp","unmark.lintess","unmark.lpp","unstack.lintess","unstack.lpp","update.lppm","updateData.lppm","valid.lppm","validate.lpp.coords","vcov.lppm","vertexdegree","vertices.linnet","vnnFind","volume.linnet","Window.linnet","Window.lintess","Window.lpp","Window.lppm","Window<-.linnet","Window<-.lpp"],"_help":[{"page":"spatstat.linnet-package","title":"The spatstat.linnet Package","topics":["spatstat.linnet-package","spatstat.linnet"]},{"page":"addVertices","title":"Add New Vertices to a Linear Network","topics":["addVertices"]},{"page":"affine.linnet","title":"Apply Geometrical Transformations to a Linear Network","topics":["affine.linnet","rescale.linnet","rotate.linnet","scalardilate.linnet","shift.linnet"]},{"page":"affine.lpp","title":"Apply Geometrical Transformations to Point Pattern on a Linear Network","topics":["affine.lpp","rescale.lpp","rotate.lpp","scalardilate.lpp","shift.lpp"]},{"page":"anova.lppm","title":"ANOVA for Fitted Point Process Models on Linear Network","topics":["anova.lppm"]},{"page":"as.data.frame.lintess","title":"Convert Network Tessellation to Data Frame","topics":["as.data.frame.lintess"]},{"page":"as.linfun","title":"Convert Data to a Function on a Linear Network","topics":["as.linfun","as.linfun.linim","as.linfun.lintess"]},{"page":"as.linim","title":"Convert to Pixel Image on Linear Network","topics":["as.linim","as.linim.default","as.linim.linfun","as.linim.linim"]},{"page":"as.linnet.linim","title":"Extract Linear Network from Data on a Linear Network","topics":["as.linnet.linfun","as.linnet.linim","as.linnet.lintess","as.linnet.lpp"]},{"page":"as.linnet.psp","title":"Convert Line Segment Pattern to Linear Network","topics":["as.linnet.psp"]},{"page":"as.lpp","title":"Convert Data to a Point Pattern on a Linear Network","topics":["as.lpp"]},{"page":"as.owin.lpp","title":"Convert Data on a Network to class owin","topics":["as.owin.lpp","as.owin.lppm"]},{"page":"auc.lpp","title":"Area Under ROC Curve for Data on a Network","topics":["auc.lpp","auc.lppm"]},{"page":"begins","title":"Check Start of Character String","topics":["begins"]},{"page":"berman.test.lpp","title":"Berman's Tests for Point Process Model on a Network","topics":["berman.test.lpp","berman.test.lppm"]},{"page":"branchlabelfun","title":"Tree Branch Membership Labelling Function","topics":["branchlabelfun"]},{"page":"bw.lppl","title":"Likelihood Cross Validation Bandwidth Selection for Kernel Density on a Linear Network","topics":["bw.lppl"]},{"page":"bw.relrisk.lpp","title":"Cross Validated Bandwidth Selection for Relative Risk Estimation on a Network","topics":["bw.relrisk.lpp"]},{"page":"bw.voronoi","title":"Cross Validated Bandwidth Selection for Voronoi Estimator of Intensity on a Network","topics":["bw.voronoi"]},{"page":"cdf.test.lpp","title":"Spatial Distribution Test for Points on a Linear Network","topics":["cdf.test.lpp","cdf.test.lppm"]},{"page":"chop.linnet","title":"Divide a Linear Network into Tiles Using Infinite Lines","topics":["chop.linnet"]},{"page":"clickjoin","title":"Interactively join vertices on a plot","topics":["clickjoin"]},{"page":"clicklpp","title":"Interactively Add Points on a Linear Network","topics":["clicklpp"]},{"page":"connected.linnet","title":"Connected Components of a Linear Network","topics":["connected.linnet"]},{"page":"connected.lpp","title":"Connected Components of a Point Pattern on a Linear Network","topics":["connected.lpp"]},{"page":"crossdist.lpp","title":"Pairwise distances between two point patterns on a linear network","topics":["crossdist.lpp"]},{"page":"crossing.linnet","title":"Crossing Points between Linear Network and Other Lines","topics":["crossing.linnet"]},{"page":"cut.lpp","title":"Classify Points in a Point Pattern on a Network","topics":["cut.lpp"]},{"page":"data.lppm","title":"Extract Original Data from a Fitted Point Process Model on a Network","topics":["data.lppm"]},{"page":"delaunayNetwork","title":"Linear Network of Delaunay Triangulation or Dirichlet Tessellation","topics":["delaunayNetwork","dirichletNetwork"]},{"page":"deletebranch","title":"Delete or Extract a Branch of a Tree","topics":["deletebranch","deletebranch.linnet","deletebranch.lpp","extractbranch","extractbranch.linnet","extractbranch.lpp"]},{"page":"density.linnet","title":"Kernel Smoothing of Linear Network","topics":["density.linnet"]},{"page":"density.lpp","title":"Kernel Estimate of Intensity on a Linear Network","topics":["density.lpp","density.splitppx"]},{"page":"densityEqualSplit","title":"Equal-Split Algorithm for Kernel Density on a Network","topics":["densityEqualSplit"]},{"page":"densityfun.lpp","title":"Kernel Estimate of Intensity on a Linear Network as a Spatial Function","topics":["densityfun.lpp"]},{"page":"densityHeat.lpp","title":"Kernel Density on a Network using Heat Equation","topics":["densityHeat.lpp"]},{"page":"densityQuick.lpp","title":"Kernel Estimation of Intensity on a Network using a 2D Kernel","topics":["densityQuick.lpp"]},{"page":"densityVoronoi.lpp","title":"Intensity Estimate of Point Pattern on Linear Network Using Voronoi-Dirichlet Tessellation","topics":["densityVoronoi.lpp"]},{"page":"diameter.linnet","title":"Diameter and Bounding Radius of a Linear Network","topics":["boundingradius.linnet","diameter.linnet"]},{"page":"distfun.lpp","title":"Distance Map on Linear Network","topics":["distfun.lpp"]},{"page":"distmap.lpp","title":"Distance Map of Point Pattern on Linear Network","topics":["distmap.lpp"]},{"page":"divide.linnet","title":"Divide Linear Network at Cut Points","topics":["divide.linnet"]},{"page":"domain.lpp","title":"Extract the Linear Network on which Spatial Data are Defined","topics":["domain.linfun","domain.lintess","domain.lpp","domain.lppm"]},{"page":"envelope.lpp","title":"Envelope for Point Patterns on Linear Network","topics":["envelope.lpp","envelope.lppm"]},{"page":"eval.linim","title":"Evaluate Expression Involving Pixel Images on Linear Network","topics":["eval.linim"]},{"page":"Extract.linim","title":"Extract Subset of Pixel Image on Linear Network","topics":["[.linim"]},{"page":"Extract.linnet","title":"Extract Subset of Linear Network","topics":["[.linnet"]},{"page":"Extract.lpp","title":"Extract Subset of Point Pattern on Linear Network","topics":["[.lpp"]},{"page":"fitted.lppm","title":"Fitted Intensity for Point Process on Linear Network","topics":["fitted.lppm"]},{"page":"heatkernelapprox","title":"Approximation to Heat Kernel on Linear Network at Source Point","topics":["heatkernelapprox"]},{"page":"identify.lpp","title":"Identify Points in a Point Pattern on a Linear Network","topics":["identify.lpp"]},{"page":"insertVertices","title":"Insert New Vertices in a Linear Network","topics":["insertVertices"]},{"page":"integral.linim","title":"Integral on a Linear Network","topics":["integral.linfun","integral.linim"]},{"page":"intensity.lpp","title":"Empirical Intensity of Point Pattern on Linear Network","topics":["intensity.lpp"]},{"page":"intersect.lintess","title":"Intersection of Tessellations on a Linear Network","topics":["intersect.lintess"]},{"page":"is.connected.linnet","title":"Determine Whether a Linear Network is Connected","topics":["is.connected.linnet"]},{"page":"is.marked.lppm","title":"Test Whether A Point Process Model is Marked","topics":["is.marked.lppm"]},{"page":"is.multitype.lpp","title":"Test Whether A Point Pattern on a Network is Multitype","topics":["is.multitype.lpp"]},{"page":"is.multitype.lppm","title":"Test Whether A Point Process Model is Multitype","topics":["is.multitype.lppm"]},{"page":"is.stationary.lppm","title":"Recognise Stationary and Poisson Point Process Models on a Network","topics":["is.poisson.lppm","is.stationary.lppm"]},{"page":"joinVertices","title":"Join Vertices in a Network","topics":["joinVertices"]},{"page":"lineardirichlet","title":"Dirichlet Tessellation on a Linear Network","topics":["lineardirichlet"]},{"page":"lineardisc","title":"Compute Disc of Given Radius in Linear Network","topics":["countends","lineardisc","lineardisclength"]},{"page":"linearJinhom","title":"Inhomogeneous Linear J-function for Point Processes on Linear Networks","topics":["linearJinhom"]},{"page":"linearK","title":"Linear K Function","topics":["linearK"]},{"page":"linearKcross","title":"Multitype K Function (Cross-type) for Linear Point Pattern","topics":["linearKcross"]},{"page":"linearKcross.inhom","title":"Inhomogeneous multitype K Function (Cross-type) for Linear Point Pattern","topics":["linearKcross.inhom"]},{"page":"linearKdot","title":"Multitype K Function (Dot-type) for Linear Point Pattern","topics":["linearKdot"]},{"page":"linearKdot.inhom","title":"Inhomogeneous multitype K Function (Dot-type) for Linear Point Pattern","topics":["linearKdot.inhom"]},{"page":"linearKEuclid","title":"Linear K Function Using Euclidean Distance","topics":["linearKEuclid"]},{"page":"linearKEuclidInhom","title":"Inhomogeneous Linear K Function Based on Euclidean Distances","topics":["linearKEuclidInhom"]},{"page":"linearKinhom","title":"Inhomogeneous Linear K Function","topics":["linearKinhom"]},{"page":"linearmarkconnect","title":"Mark Connection Function for Multitype Point Pattern on Linear Network","topics":["linearmarkconnect"]},{"page":"linearmarkequal","title":"Mark Connection Function for Multitype Point Pattern on Linear Network","topics":["linearmarkequal"]},{"page":"linearpcf","title":"Linear Pair Correlation Function","topics":["linearpcf"]},{"page":"linearpcfcross","title":"Multitype Pair Correlation Function (Cross-type) for Linear Point Pattern","topics":["linearpcfcross"]},{"page":"linearpcfcross.inhom","title":"Inhomogeneous Multitype Pair Correlation Function (Cross-type) for Linear Point Pattern","topics":["linearpcfcross.inhom"]},{"page":"linearpcfdot","title":"Multitype Pair Correlation Function (Dot-type) for Linear Point Pattern","topics":["linearpcfdot"]},{"page":"linearpcfdot.inhom","title":"Inhomogeneous Multitype Pair Correlation Function (Dot-type) for Linear Point Pattern","topics":["linearpcfdot.inhom"]},{"page":"linearpcfEuclid","title":"Linear Pair Correlation Function Using Euclidean Distance","topics":["linearpcfEuclid"]},{"page":"linearpcfEuclidInhom","title":"Inhomogeneous Linear Pair Correlation Function Based on Euclidean Distances","topics":["linearpcfEuclidInhom"]},{"page":"linearpcfinhom","title":"Inhomogeneous Linear Pair Correlation Function","topics":["linearpcfinhom"]},{"page":"lineartileindex","title":"Determine Which Tile Contains Each Given Point on a Linear Network","topics":["lineartileindex"]},{"page":"linequad","title":"Quadrature Scheme on a Linear Network","topics":["linequad"]},{"page":"linfun","title":"Function on a Linear Network","topics":["linfun"]},{"page":"linim","title":"Create Pixel Image on Linear Network","topics":["linim"]},{"page":"linnet","title":"Create a Linear Network","topics":["linnet"]},{"page":"lintess","title":"Tessellation on a Linear Network","topics":["lintess"]},{"page":"lixellate","title":"Subdivide Segments of a Network","topics":["lixellate"]},{"page":"lpp","title":"Create Point Pattern on Linear Network","topics":["lpp"]},{"page":"lppm","title":"Fit Point Process Model to Point Pattern on Linear Network","topics":["lppm","lppm.formula","lppm.lpp"]},{"page":"marks.linnet","title":"Marks of a Network","topics":["marks.linnet","marks<-.linnet"]},{"page":"marks.lintess","title":"Marks of a Tessellation on a Network","topics":["marks.lintess","marks<-.lintess","unmark.lintess"]},{"page":"Math.linim","title":"S3 Group Generic Methods for Images on a Linear Network","topics":["Complex.linim","Math.linim","Ops.linim","Summary.linim"]},{"page":"mean.linim","title":"Mean, Median, Quantiles of Pixel Values on a Linear Network","topics":["mean.linim","median.linim","quantile.linim","quantilefun.linim"]},{"page":"methods.linfun","title":"Methods for Functions on Linear Network","topics":["as.data.frame.linfun","as.function.linfun","as.owin.linfun","methods.linfun","plot.linfun","print.linfun","summary.linfun"]},{"page":"methods.linim","title":"Methods for Images on a Linear Network","topics":["affine.linim","as.data.frame.linim","as.im.linim","methods.linim","print.linim","scalardilate.linim","shift.linim","summary.linim"]},{"page":"methods.linnet","title":"Methods for Linear Networks","topics":["as.linnet","as.linnet.linnet","as.owin.linnet","as.psp.linnet","methods.linnet","nsegments.linnet","nvertices.linnet","pixellate.linnet","print.linnet","summary.linnet","unitname.linnet","unitname<-.linnet","vertexdegree","vertices.linnet","volume.linnet","Window.linnet"]},{"page":"methods.lpp","title":"Methods for Point Patterns on a Linear Network","topics":["as.ppp.lpp","as.psp.lpp","marks<-.lpp","methods.lpp","nsegments.lpp","print.lpp","print.summary.lpp","summary.lpp","unitname.lpp","unitname<-.lpp","unmark.lpp"]},{"page":"methods.lppm","title":"Methods for Fitted Point Process Models on a Linear Network","topics":["as.linnet.lppm","coef.lppm","deviance.lppm","emend.lppm","extractAIC.lppm","formula.lppm","logLik.lppm","methods.lppm","nobs.lppm","print.lppm","response.lppm","summary.lppm","terms.lppm","update.lppm","valid.lppm","vcov.lppm"]},{"page":"model.frame.lppm","title":"Extract the Variables in a Point Process Model on a Network","topics":["model.frame.lppm"]},{"page":"model.images.lppm","title":"Compute Images of Constructed Covariates","topics":["model.images.lppm"]},{"page":"model.matrix.lppm","title":"Extract Design Matrix from Point Process Model on a Network","topics":["model.matrix.lppm"]},{"page":"nncross.lpp","title":"Nearest Neighbours on a Linear Network","topics":["nncross.lpp"]},{"page":"nndist.lpp","title":"Nearest neighbour distances on a linear network","topics":["nndist.lpp"]},{"page":"nnfromvertex","title":"Nearest Data Point From Each Vertex in a Network","topics":["nnfromvertex"]},{"page":"nnfun.lpp","title":"Nearest Neighbour Map on Linear Network","topics":["nnfun.lpp"]},{"page":"nnwhich.lpp","title":"Identify Nearest Neighbours on a Linear Network","topics":["nnwhich.lpp"]},{"page":"pairdist.lpp","title":"Pairwise shortest-path distances between points on a linear network","topics":["pairdist.lpp"]},{"page":"pairs.linim","title":"Scatterplot Matrix for Pixel Images on a Linear Network","topics":["pairs.linim"]},{"page":"persp.linfun","title":"Perspective View of Function on a Linear Network","topics":["persp.linfun"]},{"page":"persp.linim","title":"Perspective View of Pixel Image on a Linear Network","topics":["persp.linim"]},{"page":"plot.linim","title":"Plot Pixel Image on Linear Network","topics":["plot.linim"]},{"page":"plot.linnet","title":"Plot a linear network","topics":["plot.linnet"]},{"page":"plot.lintess","title":"Plot a Tessellation on a Linear Network","topics":["plot.lintess"]},{"page":"plot.lpp","title":"Plot Point Pattern on Linear Network","topics":["plot.lpp"]},{"page":"plot.lppm","title":"Plot a Fitted Point Process Model on a Linear Network","topics":["plot.lppm"]},{"page":"points.lpp","title":"Draw Points on Existing Plot","topics":["points.lpp"]},{"page":"predict.lppm","title":"Predict Point Process Model on Linear Network","topics":["predict.lppm"]},{"page":"pseudoR2.lppm","title":"Calculate Pseudo-R-Squared for Point Process Model on Linear Network","topics":["pseudoR2.lppm"]},{"page":"rcelllpp","title":"Simulate Cell Process on Linear Network","topics":["rcelllpp"]},{"page":"relrisk.lpp","title":"Nonparametric Estimate of Spatially-Varying Relative Risk on a Network","topics":["relrisk.lpp"]},{"page":"repairNetwork","title":"Repair Internal Data in a Linear Network","topics":["repairNetwork"]},{"page":"Replace.linim","title":"Reset Values in Subset of Image on Linear Network","topics":["[<-.linim"]},{"page":"rhohat.lpp","title":"Nonparametric Estimate of Intensity as Function of a Covariate","topics":["rhohat.lpp","rhohat.lppm"]},{"page":"rjitter.lpp","title":"Random Perturbation of a Point Pattern on a Network","topics":["rjitter.lpp"]},{"page":"rlpp","title":"Random Points on a Linear Network","topics":["rlpp"]},{"page":"roc.lpp","title":"Receiver Operating Characteristic for Data on a Network","topics":["roc.lpp","roc.lppm"]},{"page":"rpoislpp","title":"Poisson Point Process on a Linear Network","topics":["rpoislpp"]},{"page":"rSwitzerlpp","title":"Switzer-type Point Process on Linear Network","topics":["rSwitzerlpp"]},{"page":"rThomaslpp","title":"Simulate Thomas Process on Linear Network","topics":["rThomaslpp"]},{"page":"runiflpp","title":"Uniform Random Points on a Linear Network","topics":["runiflpp"]},{"page":"sdr.lpp","title":"Sufficient Dimension Reduction for a Point Pattern on a Linear Network","topics":["sdr.lpp"]},{"page":"simulate.lppm","title":"Simulate a Fitted Point Process Model on a Linear Network","topics":["simulate.lppm"]},{"page":"Smooth.lpp","title":"Spatial Smoothing of Observations on a Network","topics":["Smooth.lpp"]},{"page":"subset.lpp","title":"Subset of Point Pattern Satisfying A Condition","topics":["subset.lpp"]},{"page":"superimpose.lpp","title":"Superimpose Several Point Patterns on Linear Network","topics":["superimpose.lpp"]},{"page":"terminalvertices","title":"Terminal Vertices of a Linear Network","topics":["terminalvertices"]},{"page":"text.lpp","title":"Add Text Labels to Point Pattern on a Network","topics":["text.lpp"]},{"page":"thinNetwork","title":"Remove Vertices or Segments from a Linear Network","topics":["thinNetwork"]},{"page":"tile.lengths","title":"Compute Lengths of Tiles in a Tessellation on a Network","topics":["tile.lengths"]},{"page":"tilenames.lintess","title":"Names of Tiles in a Tessellation on a Network","topics":["tilenames.lintess","tilenames<-.lintess"]},{"page":"treebranchlabels","title":"Label Vertices of a Tree by Branch Membership","topics":["treebranchlabels"]},{"page":"treeprune","title":"Prune Tree to Given Level","topics":["treeprune"]},{"page":"unstack.lpp","title":"Separate Multiple Columns of Marks","topics":["unstack.lintess","unstack.lpp"]},{"page":"Window.lpp","title":"Extract Window of Spatial Object on a Network","topics":["Window.lpp","Window.lppm"]}],"_readme":"https://github.com/spatstat/spatstat.linnet/raw/HEAD/README.md","_rundeps":["abind","deldir","goftest","lattice","Matrix","mgcv","nlme","polyclip","rpart","spatstat.data","spatstat.explore","spatstat.geom","spatstat.model","spatstat.random","spatstat.sparse","spatstat.univar","spatstat.utils","tensor"],"_score":9.566432574327296,"_indexed":true,"_nocasepkg":"spatstat.linnet","_universes":["spatstat","baddstats"],"_binaries":[]}
{"Package":"spatstat.data","Version":"3.1-4","Date":"2024-11-15","Title":"Datasets for 'spatstat' Family","Authors@R":"c(person(\"Adrian\", \"Baddeley\", \nrole = c(\"aut\", \"cre\"),\nemail = \"Adrian.Baddeley@curtin.edu.au\",\ncomment = c(ORCID=\"0000-0001-9499-8382\")),\nperson(\"Rolf\", \"Turner\",\nrole = \"aut\",\nemail=\"rolfturner@posteo.net\",\ncomment=c(ORCID=\"0000-0001-5521-5218\")),\nperson(\"Ege\",   \"Rubak\",\nrole = \"aut\",\nemail = \"rubak@math.aau.dk\",\ncomment=c(ORCID=\"0000-0002-6675-533X\")),\nperson(\"W\", \"Aherne\", role=\"ctb\"),\nperson(\"Freda\", \"Alexander\", role=\"ctb\"),\nperson(\"Qi Wei\", \"Ang\", role=\"ctb\"),\nperson(\"Sourav\", \"Banerjee\", role=\"ctb\"),\nperson(\"Mark\", \"Berman\", role=\"ctb\"),\nperson(\"R\", \"Bernhardt\", role=\"ctb\"),\nperson(\"Thomas\", \"Berndtsen\", role=\"ctb\"),\nperson(\"Andrew\", \"Bevan\", role=\"ctb\"),\nperson(\"Jeffrey\", \"Betts\", role=\"ctb\"),\nperson(\"Ray\", \"Cartwright\", role=\"ctb\"),\nperson(\"Lucia\", \"Cobo Sanchez\", role=\"ctb\"),\nperson(\"Richard\", \"Condit\", role=\"ctb\"),\nperson(\"Francis\", \"Crick\", role=\"ctb\"),\nperson(\"Marcelino\", \"de la Cruz Rot\", role=\"ctb\"),\nperson(\"Jack\", \"Cuzick\", role=\"ctb\"),\nperson(\"Tilman\", \"Davies\", role=\"ctb\"),\nperson(\"Peter\", \"Diggle\", role=\"ctb\"),\nperson(\"Michael\", \"Drinkwater\", role=\"ctb\"),\nperson(\"Stephen\", \"Eglen\", role=\"ctb\"),\nperson(\"Robert\", \"Edwards\", role=\"ctb\"),\nperson(\"AE\", \"Esler\", role=\"ctb\"),\nperson(\"Gregory\", \"Evans\", role=\"ctb\"),\nperson(\"Bernard\", \"Fingleton\", role=\"ctb\"),\nperson(\"Olivier\", \"Flores\", role=\"ctb\"),\nperson(\"David\", \"Ford\", role=\"ctb\"),\nperson(\"Robin\", \"Foster\", role=\"ctb\"),\nperson(\"Janet\", \"Franklin\", role=\"ctb\"),\nperson(\"Neba\", \"Funwi-Gabga\", role=\"ctb\"),\nperson(\"DJ\", \"Gerrard\", role=\"ctb\"),\nperson(\"Andy\", \"Green\", role=\"ctb\"),\nperson(\"Tim\", \"Griffin\", role=\"ctb\"),\nperson(\"Ute\", \"Hahn\", role=\"ctb\"),\nperson(\"RD\", \"Harkness\", role=\"ctb\"),\nperson(\"Arthur\", \"Hickman\", role=\"ctb\"),\nperson(\"Stephen\", \"Hubbell\", role=\"ctb\"),\nperson(\"Austin\", \"Hughes\", role=\"ctb\"),\nperson(\"Jonathan\", \"Huntington\", role=\"ctb\"),\nperson(\"MJ\", \"Hutchings\", role=\"ctb\"),\nperson(\"Jackie\", \"Inwald\", role=\"ctb\"),\nperson(\"Valerie\", \"Isham\", role=\"ctb\"),\nperson(\"Aruna\", \"Jammalamadaka\", role=\"ctb\"),\nperson(\"Carl\", \"Knox-Robinson\", role=\"ctb\"),\nperson(\"Mahdieh\", \"Khanmohammadi\", role=\"ctb\"),\nperson(\"Tero\", \"Kokkila\", role=\"ctb\"),\nperson(\"Bas\", \"Kooijman\", role=\"ctb\"),\nperson(\"Kenneth\", \"Kosik\", role=\"ctb\"),\nperson(\"Peter\", \"Kovesi\", role=\"ctb\"),\nperson(\"Lily\", \"Kozmian-Ledward\", role=\"ctb\"),\nperson(\"Robert\", \"Lamb\", role=\"ctb\"),\nperson(\"NA\", \"Laskurain\", role=\"ctb\"),\nperson(\"George\", \"Leser\", role=\"ctb\"),\nperson(\"Marie-Colette\", \"van Lieshout\", role=\"ctb\"),\nperson(\"AF\", \"Mark\", role=\"ctb\"),\nperson(\"Jorge\", \"Mateu\", role=\"ctb\"),\nperson(\"Annikki\", \"Makela\", role=\"ctb\"),\nperson(\"Enrique\", \"Miranda\", role=\"ctb\"),\nperson(\"Nicoletta\", \"Nava\", role=\"ctb\"),\nperson(\"M\", \"Numata\", role=\"ctb\"),\nperson(\"Matti\", \"Nummelin\", role=\"ctb\"),\nperson(\"Jens Randel\", \"Nyengaard\", role=\"ctb\"),\nperson(\"Yosihiko\", \"Ogata\", role=\"ctb\"),\nperson(\"Si\", \"Palmer\", role=\"ctb\"),\nperson(\"Antti\", \"Penttinen\", role=\"ctb\"),\nperson(\"Sandra\", \"Pereira\", role=\"ctb\"),\nperson(\"Nicolas\", \"Picard\", role=\"ctb\"),\nperson(\"William\", \"Platt\", role=\"ctb\"),\nperson(\"Stephen\", \"Rathbun\", role=\"ctb\"),\nperson(\"Brian\", \"Ripley\", role=\"ctb\"),\nperson(\"Roger\", \"Sainsbury\", role=\"ctb\"),\nperson(\"Dietrich\", \"Stoyan\", role=\"ctb\"),\nperson(\"David\", \"Strauss\", role=\"ctb\"),\nperson(\"L\", \"Strand\", role=\"ctb\"),\nperson(\"Masaharu\", \"Tanemura\", role=\"ctb\"),\nperson(\"Graham\", \"Upton\", role=\"ctb\"),\nperson(\"Bill\", \"Venables\", role=\"ctb\"),\nperson(\"Sasha\", \"Voss\", role=\"ctb\"),\nperson(\"Rasmus\", \"Waagepetersen\", role=\"ctb\"),\nperson(\"Keith\", \"Watkins\", role=\"ctb\"),\nperson(\"H\", \"Wendrock\", role=\"ctb\")\n)","Maintainer":"Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>","Description":"Contains all the datasets for the 'spatstat' family of\npackages.","License":"GPL (>= 2)","URL":"http://spatstat.org/","LazyData":"true","NeedsCompilation":"no","ByteCompile":"true","BugReports":"https://github.com/spatstat/spatstat.data/issues","Repository":"https://spatstat.r-universe.dev","RemoteUrl":"https://github.com/spatstat/spatstat.data","RemoteRef":"HEAD","RemoteSha":"053b086dcbb8367faf9d84e70eb4a7b3e529850b","Packaged":{"Date":"2024-12-27 05:13:36 UTC","User":"root"},"Author":"Adrian Baddeley [aut, cre] (<https://orcid.org/0000-0001-9499-8382>),\nRolf Turner [aut] (<https://orcid.org/0000-0001-5521-5218>),\nEge Rubak [aut] (<https://orcid.org/0000-0002-6675-533X>),\nW Aherne [ctb],\nFreda Alexander [ctb],\nQi Wei Ang [ctb],\nSourav Banerjee [ctb],\nMark Berman [ctb],\nR Bernhardt [ctb],\nThomas Berndtsen [ctb],\nAndrew Bevan [ctb],\nJeffrey Betts [ctb],\nRay Cartwright [ctb],\nLucia Cobo Sanchez [ctb],\nRichard Condit [ctb],\nFrancis Crick [ctb],\nMarcelino de la Cruz Rot [ctb],\nJack Cuzick [ctb],\nTilman Davies [ctb],\nPeter Diggle [ctb],\nMichael Drinkwater [ctb],\nStephen Eglen [ctb],\nRobert Edwards [ctb],\nAE Esler [ctb],\nGregory Evans [ctb],\nBernard Fingleton [ctb],\nOlivier Flores [ctb],\nDavid Ford [ctb],\nRobin Foster [ctb],\nJanet Franklin [ctb],\nNeba Funwi-Gabga [ctb],\nDJ Gerrard [ctb],\nAndy Green [ctb],\nTim Griffin [ctb],\nUte Hahn [ctb],\nRD Harkness [ctb],\nArthur Hickman [ctb],\nStephen Hubbell [ctb],\nAustin Hughes [ctb],\nJonathan Huntington [ctb],\nMJ Hutchings [ctb],\nJackie Inwald [ctb],\nValerie Isham [ctb],\nAruna Jammalamadaka [ctb],\nCarl Knox-Robinson [ctb],\nMahdieh Khanmohammadi [ctb],\nTero Kokkila [ctb],\nBas Kooijman [ctb],\nKenneth Kosik [ctb],\nPeter Kovesi [ctb],\nLily Kozmian-Ledward [ctb],\nRobert Lamb [ctb],\nNA Laskurain [ctb],\nGeorge Leser [ctb],\nMarie-Colette van Lieshout [ctb],\nAF Mark [ctb],\nJorge Mateu [ctb],\nAnnikki Makela [ctb],\nEnrique Miranda [ctb],\nNicoletta Nava [ctb],\nM Numata [ctb],\nMatti Nummelin [ctb],\nJens Randel Nyengaard [ctb],\nYosihiko Ogata [ctb],\nSi Palmer [ctb],\nAntti Penttinen [ctb],\nSandra Pereira [ctb],\nNicolas Picard [ctb],\nWilliam Platt [ctb],\nStephen Rathbun [ctb],\nBrian Ripley [ctb],\nRoger Sainsbury [ctb],\nDietrich Stoyan [ctb],\nDavid Strauss [ctb],\nL Strand [ctb],\nMasaharu Tanemura [ctb],\nGraham Upton [ctb],\nBill Venables [ctb],\nSasha Voss [ctb],\nRasmus Waagepetersen [ctb],\nKeith Watkins [ctb],\nH Wendrock [ctb]","MD5sum":"083ffa1bd815a3b20584f2815a8f3b2d","_user":"spatstat","_type":"src","_file":"spatstat.data_3.1-4.tar.gz","_fileid":"6df8c494b93a41ede6c76f7231ade2318a065b1c2d6399506d488347397911da","_filesize":3340600,"_sha256":"6df8c494b93a41ede6c76f7231ade2318a065b1c2d6399506d488347397911da","_created":"2024-12-27T05:13:36.000Z","_published":"2024-12-27T05:17:11.174Z","_upstream":"https://github.com/spatstat/spatstat.data","_commit":{"id":"053b086dcbb8367faf9d84e70eb4a7b3e529850b","author":"Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>","committer":"Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>","message":"tweak\n","time":1731647750},"_maintainer":{"name":"Adrian Baddeley","email":"adrian.baddeley@curtin.edu.au","login":"baddstats","uuid":7161794,"orcid":"0000-0001-9499-8382"},"_distro":"noble","_host":"GitHub-Actions","_status":"success","_pkgdocs":"skipped","_winbinary":"success","_macbinary":"success","_wasmbinary":"success","_linuxdevel":"success","_windevel":"success","_buildurl":"https://github.com/r-universe/spatstat/actions/runs/12512112248","_registered":true,"_dependencies":[{"package":"R","version":">= 3.5.0","role":"Depends"},{"package":"spatstat.utils","version":">= 3.0-5","role":"Imports"},{"package":"Matrix","role":"Imports"},{"package":"spatstat.geom","role":"Suggests"},{"package":"spatstat.random","role":"Suggests"},{"package":"spatstat.explore","role":"Suggests"},{"package":"spatstat.model","role":"Suggests"},{"package":"spatstat.linnet","role":"Suggests"}],"_owner":"spatstat","_selfowned":true,"_usedby":217,"_updates":[{"week":"2024-03","n":1},{"week":"2024-24","n":2},{"week":"2024-25","n":5},{"week":"2024-29","n":1},{"week":"2024-46","n":3}],"_tags":[],"_topics":["kernel-density","point-process","spatial-analysis","spatial-data","spatial-data-analysis","spatstat","statistical-analysis","statistical-methods","statistical-tests","statistics"],"_stars":7,"_contributions":{"baddstats":73,"rolfturner":2},"_userbio":{"uuid":8414375,"type":"organization","name":"The Spatstat Team"},"_downloads":{"count":50375,"source":"https://cranlogs.r-pkg.org/downloads/total/last-month/spatstat.data"},"_mentions":172,"_devurl":"https://github.com/spatstat/spatstat.data","_searchresults":120,"_assets":["extra/citation.cff","extra/citation.html","extra/citation.json","extra/citation.txt","extra/contents.json","extra/NEWS.html","extra/NEWS.txt","extra/readme.html","extra/readme.md","extra/spatstat.data.html","manual.pdf"],"_homeurl":"https://github.com/spatstat/spatstat.data","_realowner":"spatstat","_cranurl":true,"_releases":[{"version":"1.0-1","date":"2017-09-14"},{"version":"1.1-0","date":"2017-09-21"},{"version":"1.1-1","date":"2017-10-11"},{"version":"1.2-0","date":"2017-11-20"},{"version":"1.3-1","date":"2018-06-11"},{"version":"1.4-0","date":"2018-10-04"},{"version":"1.4-3","date":"2020-01-26"},{"version":"1.5-2","date":"2020-11-12"},{"version":"1.7-0","date":"2020-12-16"},{"version":"2.0-0","date":"2021-02-10"},{"version":"2.1-0","date":"2021-03-21"},{"version":"2.1-2","date":"2021-12-17"},{"version":"2.1-4","date":"2022-03-29"},{"version":"2.2-0","date":"2022-04-18"},{"version":"3.0-0","date":"2022-10-21"},{"version":"3.0-1","date":"2023-03-12"},{"version":"3.0-3","date":"2023-10-24"},{"version":"3.0-4","date":"2024-01-15"},{"version":"3.1-2","date":"2024-06-21"},{"version":"3.1-4","date":"2024-11-15"}],"_exports":["copyExampleFiles"],"_datasets":[{"name":"Kovesi","title":"Colour Sequences with Uniform Perceptual Contrast","object":"Kovesi","class":["hyperframe","list"],"fields":[],"table":false,"tojson":true},{"name":"amacrine","title":"Hughes' Amacrine Cell Data","object":"amacrine","class":["ppp"],"fields":[],"table":false,"tojson":false},{"name":"anemones","title":"Beadlet Anemones Data","object":"anemones","class":["ppp"],"fields":[],"table":false,"tojson":false},{"name":"ants","title":"Harkness-Isham ants' nests data","object":"ants","class":["ppp"],"fields":[],"table":false,"tojson":false},{"name":"ants.extra","title":"Harkness-Isham ants' nests data","object":"ants","class":["list"],"fields":[],"table":false,"tojson":false},{"name":"austates","title":"Australian States and Mainland Territories","object":"austates","class":["tess","list"],"fields":[],"table":false,"tojson":false},{"name":"bdspots","title":"Breakdown Spots in Microelectronic Materials","object":"bdspots","class":["ppplist","solist","anylist","listof","list"],"fields":[],"table":false,"tojson":false},{"name":"bei","title":"Tropical rain forest trees","object":"bei","class":["ppp"],"fields":[],"table":false,"tojson":false},{"name":"bei.extra","title":"Tropical rain forest trees","object":"bei","class":["imlist","solist","anylist","listof","list"],"fields":[],"table":false,"tojson":false},{"name":"betacells","title":"Beta Ganglion Cells in Cat Retina","object":"betacells","class":["ppp"],"fields":[],"table":false,"tojson":false},{"name":"bramblecanes","title":"Hutchings' Bramble Canes data","object":"bramblecanes","class":["ppp"],"fields":[],"table":false,"tojson":false},{"name":"bronzefilter","title":"Bronze gradient filter data","object":"bronzefilter","class":["ppp"],"fields":[],"table":false,"tojson":false},{"name":"btb","title":"Bovine Tuberculosis Data","object":"btb","class":["ppp"],"fields":[],"table":false,"tojson":false},{"name":"btb.extra","title":"Bovine Tuberculosis Data","object":"btb","class":["ppplist","solist","anylist","listof","list"],"fields":[],"table":false,"tojson":false},{"name":"cells","title":"Biological Cells Point Pattern","object":"cells","class":["ppp"],"fields":[],"table":false,"tojson":false},{"name":"cetaceans","title":"Point patterns of whale and dolphin sightings.","object":"cetaceans","class":["hyperframe","list"],"fields":[],"table":false,"tojson":false},{"name":"cetaceans.extra","title":"Point patterns of whale and dolphin sightings.","object":"cetaceans","class":["list"],"fields":[],"table":false,"tojson":false},{"name":"chicago","title":"Chicago Crime Data","object":"chicago","class":["lpp","ppx"],"fields":[],"table":false,"tojson":false},{"name":"chorley","title":"Chorley-Ribble Cancer Data","object":"chorley","class":["ppp"],"fields":[],"table":false,"tojson":false},{"name":"chorley.extra","title":"Chorley-Ribble Cancer Data","object":"chorley","class":["list"],"fields":[],"table":false,"tojson":true},{"name":"clmfires","title":"Castilla-La Mancha Forest Fires","object":"clmfires","class":["ppp"],"fields":[],"table":false,"tojson":false},{"name":"clmfires.extra","title":"Castilla-La Mancha Forest Fires","object":"clmfires","class":["list"],"fields":[],"table":false,"tojson":false},{"name":"concrete","title":"Air Bubbles in Concrete","object":"concrete","class":["ppp"],"fields":[],"table":false,"tojson":false},{"name":"copper","title":"Berman-Huntington points and lines data","object":"copper","class":["list"],"fields":[],"table":false,"tojson":false},{"name":"demohyper","title":"Demonstration Example of Hyperframe of Spatial Data","object":"demohyper","class":["hyperframe","list"],"fields":[],"table":false,"tojson":false},{"name":"demopat","title":"Artificial Data Point Pattern","object":"demopat","class":["ppp"],"fields":[],"table":false,"tojson":false},{"name":"dendrite","title":"Dendritic Spines Data","object":"dendrite","class":["lpp","ppx"],"fields":[],"table":false,"tojson":false},{"name":"finpines","title":"Pine saplings in Finland.","object":"finpines","class":["ppp"],"fields":[],"table":false,"tojson":false},{"name":"flu","title":"Influenza Virus Proteins","object":"flu","class":["hyperframe","list"],"fields":[],"table":false,"tojson":false},{"name":"ganglia","title":"Beta Ganglion Cells in Cat Retina, Old Version","object":"ganglia","class":["ppp"],"fields":[],"table":false,"tojson":false},{"name":"gordon","title":"People in Gordon Square","object":"gordon","class":["ppp"],"fields":[],"table":false,"tojson":false},{"name":"gorillas","title":"Gorilla Nesting Sites","object":"gorillas","class":["ppp"],"fields":[],"table":false,"tojson":false},{"name":"gorillas.extra","title":"Gorilla Nesting Sites","object":"gorillas","class":["imlist","solist","anylist","listof","list"],"fields":[],"table":false,"tojson":false},{"name":"hamster","title":"Aherne's hamster tumour data","object":"hamster","class":["ppp"],"fields":[],"table":false,"tojson":false},{"name":"heather","title":"Diggle's Heather Data","object":"heather","class":["solist","anylist","listof","list"],"fields":[],"table":false,"tojson":false},{"name":"humberside","title":"Humberside Data on Childhood Leukaemia and Lymphoma","object":"humberside","class":["ppp"],"fields":[],"table":false,"tojson":false},{"name":"humberside.convex","title":"Humberside Data on Childhood Leukaemia and Lymphoma","object":"humberside","class":["ppp"],"fields":[],"table":false,"tojson":false},{"name":"hyytiala","title":"Scots pines and other trees at Hyytiala","object":"hyytiala","class":["ppp"],"fields":[],"table":false,"tojson":false},{"name":"japanesepines","title":"Japanese Pines Point Pattern","object":"japanesepines","class":["ppp"],"fields":[],"table":false,"tojson":false},{"name":"lansing","title":"Lansing Woods Point Pattern","object":"lansing","class":["ppp"],"fields":[],"table":false,"tojson":false},{"name":"letterR","title":"Window in Shape of Letter R","object":"letterR","class":["owin"],"fields":[],"table":false,"tojson":false},{"name":"longleaf","title":"Longleaf Pines Point Pattern","object":"longleaf","class":["ppp"],"fields":[],"table":false,"tojson":false},{"name":"mucosa","title":"Cells in Gastric Mucosa","object":"mucosa","class":["ppp"],"fields":[],"table":false,"tojson":false},{"name":"mucosa.subwin","title":"Cells in Gastric Mucosa","object":"mucosa","class":["owin"],"fields":[],"table":false,"tojson":false},{"name":"murchison","title":"Murchison gold deposits","object":"murchison","class":["solist","anylist","listof","list"],"fields":[],"table":false,"tojson":false},{"name":"nbfires","title":"Point Patterns of New Brunswick Forest Fires","object":"nbfires","class":["ppp"],"fields":[],"table":false,"tojson":false},{"name":"nbfires.extra","title":"Point Patterns of New Brunswick Forest Fires","object":"nbfires","class":["solist","anylist","listof","list"],"fields":[],"table":false,"tojson":false},{"name":"nbw.rect","title":"Point Patterns of New Brunswick Forest Fires","object":"nbfires","class":["owin"],"fields":[],"table":false,"tojson":false},{"name":"nbw.seg","title":"Point Patterns of New Brunswick Forest Fires","object":"nbfires","class":["psp","list"],"fields":[],"table":false,"tojson":false},{"name":"nztrees","title":"New Zealand Trees Point Pattern","object":"nztrees","class":["ppp"],"fields":[],"table":false,"tojson":false},{"name":"osteo","title":"Osteocyte Lacunae Data: Replicated Three-Dimensional Point Patterns","object":"osteo","class":["hyperframe","list"],"fields":[],"table":false,"tojson":false},{"name":"paracou","title":"Kimboto trees at Paracou, French Guiana","object":"paracou","class":["ppp"],"fields":[],"table":false,"tojson":false},{"name":"ponderosa","title":"Ponderosa Pine Tree Point Pattern","object":"ponderosa","class":["ppp"],"fields":[],"table":false,"tojson":false},{"name":"ponderosa.extra","title":"Ponderosa Pine Tree Point Pattern","object":"ponderosa","class":["list"],"fields":[],"table":false,"tojson":true},{"name":"pyramidal","title":"Pyramidal Neurons in Cingulate Cortex","object":"pyramidal","class":["hyperframe","list"],"fields":[],"table":false,"tojson":false},{"name":"redwood","title":"California Redwoods Point Pattern (Ripley's Subset)","object":"redwood","class":["ppp"],"fields":[],"table":false,"tojson":false},{"name":"redwood3","title":"California Redwoods Point Pattern (Ripley's Subset)","object":"redwood3","class":["ppp"],"fields":[],"table":false,"tojson":false},{"name":"redwoodfull","title":"California Redwoods Point Pattern (Entire Dataset)","object":"redwoodfull","class":["ppp"],"fields":[],"table":false,"tojson":false},{"name":"redwoodfull.extra","title":"California Redwoods Point Pattern (Entire Dataset)","object":"redwoodfull","class":["list"],"fields":[],"table":false,"tojson":false},{"name":"residualspaper","title":"Data and Code From JRSS Discussion Paper on Residuals","object":"residualspaper","class":["list"],"fields":[],"table":false,"tojson":false},{"name":"shapley","title":"Galaxies in the Shapley Supercluster","object":"shapley","class":["ppp"],"fields":[],"table":false,"tojson":false},{"name":"shapley.extra","title":"Galaxies in the Shapley Supercluster","object":"shapley","class":["list"],"fields":[],"table":false,"tojson":false},{"name":"shelling","title":"Artillery Impacts in Ukraine","object":"shelling","class":["ppp"],"fields":[],"table":false,"tojson":false},{"name":"shelling2","title":"Artillery Impacts in Ukraine","object":"shelling","class":["ppp"],"fields":[],"table":false,"tojson":false},{"name":"simba","title":"Simulated data from a two-group experiment with replication within each group.","object":"simba","class":["hyperframe","list"],"fields":[],"table":false,"tojson":false},{"name":"simdat","title":"Simulated Point Pattern","object":"simdat","class":["ppp"],"fields":[],"table":false,"tojson":false},{"name":"simplenet","title":"Simple Example of Linear Network","object":"simplenet","class":["linnet","list"],"fields":[],"table":false,"tojson":false},{"name":"spiders","title":"Spider Webs on Mortar Lines of a Brick Wall","object":"spiders","class":["lpp","ppx"],"fields":[],"table":false,"tojson":false},{"name":"sporophores","title":"Sporophores Data","object":"sporophores","class":["ppp"],"fields":[],"table":false,"tojson":false},{"name":"spruces","title":"Spruces Point Pattern","object":"spruces","class":["ppp"],"fields":[],"table":false,"tojson":false},{"name":"stonetools","title":"Palaeolithic Stone Tools","object":"stonetools","class":["ppp"],"fields":[],"table":false,"tojson":false},{"name":"swedishpines","title":"Swedish Pines Point Pattern","object":"swedishpines","class":["ppp"],"fields":[],"table":false,"tojson":false},{"name":"urkiola","title":"Urkiola Woods Point Pattern","object":"urkiola","class":["ppp"],"fields":[],"table":false,"tojson":false},{"name":"vesicles","title":"Vesicles Data","object":"vesicles","class":["ppp"],"fields":[],"table":false,"tojson":false},{"name":"vesicles.extra","title":"Vesicles Data","object":"vesicles","class":["solist","anylist","listof","list"],"fields":[],"table":false,"tojson":false},{"name":"waka","title":"Trees in Waka national park","object":"waka","class":["ppp"],"fields":[],"table":false,"tojson":false},{"name":"waterstriders","title":"Waterstriders data.  Three independent replications of a point pattern formed by insects.","object":"waterstriders","class":["ppplist","solist","anylist","listof","list"],"fields":[],"table":false,"tojson":false}],"_help":[{"page":"spatstat.data-package","title":"The spatstat.data Package","topics":["spatstat.data-package","spatstat.data"]},{"page":"amacrine","title":"Hughes' Amacrine Cell Data","topics":["amacrine"]},{"page":"anemones","title":"Beadlet Anemones Data","topics":["anemones"]},{"page":"ants","title":"Harkness-Isham ants' nests data","topics":["ants","ants.extra"]},{"page":"austates","title":"Australian States and Mainland Territories","topics":["austates"]},{"page":"bdspots","title":"Breakdown Spots in Microelectronic Materials","topics":["bdspots"]},{"page":"bei","title":"Tropical rain forest trees","topics":["bei","bei.extra"]},{"page":"betacells","title":"Beta Ganglion Cells in Cat Retina","topics":["betacells"]},{"page":"bramblecanes","title":"Hutchings' Bramble Canes data","topics":["bramblecanes"]},{"page":"bronzefilter","title":"Bronze gradient filter data","topics":["bronzefilter"]},{"page":"btb","title":"Bovine Tuberculosis Data","topics":["btb","btb.extra"]},{"page":"cells","title":"Biological Cells Point Pattern","topics":["cells"]},{"page":"cetaceans","title":"Point patterns of whale and dolphin sightings.","topics":["cetaceans","cetaceans.extra"]},{"page":"chicago","title":"Chicago Crime Data","topics":["chicago"]},{"page":"chorley","title":"Chorley-Ribble Cancer Data","topics":["chorley","chorley.extra"]},{"page":"clmfires","title":"Castilla-La Mancha Forest Fires","topics":["clmfires","clmfires.extra"]},{"page":"concrete","title":"Air Bubbles in Concrete","topics":["concrete"]},{"page":"copper","title":"Berman-Huntington points and lines data","topics":["copper"]},{"page":"copyExampleFiles","title":"Copy Data Files for Example","topics":["copyExampleFiles"]},{"page":"demohyper","title":"Demonstration Example of Hyperframe of Spatial Data","topics":["demohyper"]},{"page":"demopat","title":"Artificial Data Point Pattern","topics":["demopat"]},{"page":"dendrite","title":"Dendritic Spines Data","topics":["dendrite"]},{"page":"finpines","title":"Pine saplings in Finland.","topics":["finpines"]},{"page":"flu","title":"Influenza Virus Proteins","topics":["flu"]},{"page":"ganglia","title":"Beta Ganglion Cells in Cat Retina, Old Version","topics":["ganglia"]},{"page":"gordon","title":"People in Gordon Square","topics":["gordon"]},{"page":"gorillas","title":"Gorilla Nesting Sites","topics":["gorillas","gorillas.extra"]},{"page":"hamster","title":"Aherne's hamster tumour data","topics":["hamster"]},{"page":"heather","title":"Diggle's Heather Data","topics":["heather"]},{"page":"humberside","title":"Humberside Data on Childhood Leukaemia and Lymphoma","topics":["humberside","humberside.convex"]},{"page":"hyytiala","title":"Scots pines and other trees at Hyytiala","topics":["hyytiala"]},{"page":"japanesepines","title":"Japanese Pines Point Pattern","topics":["japanesepines"]},{"page":"Kovesi","title":"Colour Sequences with Uniform Perceptual Contrast","topics":["Kovesi"]},{"page":"lansing","title":"Lansing Woods Point Pattern","topics":["lansing"]},{"page":"letterR","title":"Window in Shape of Letter R","topics":["letterR"]},{"page":"longleaf","title":"Longleaf Pines Point Pattern","topics":["longleaf"]},{"page":"mucosa","title":"Cells in Gastric Mucosa","topics":["mucosa","mucosa.subwin"]},{"page":"murchison","title":"Murchison gold deposits","topics":["murchison"]},{"page":"nbfires","title":"Point Patterns of New Brunswick Forest Fires","topics":["nbfires","nbfires.extra","nbw.rect","nbw.seg"]},{"page":"nztrees","title":"New Zealand Trees Point Pattern","topics":["nztrees"]},{"page":"osteo","title":"Osteocyte Lacunae Data: Replicated Three-Dimensional Point Patterns","topics":["osteo"]},{"page":"paracou","title":"Kimboto trees at Paracou, French Guiana","topics":["paracou"]},{"page":"ponderosa","title":"Ponderosa Pine Tree Point Pattern","topics":["ponderosa","ponderosa.extra"]},{"page":"pyramidal","title":"Pyramidal Neurons in Cingulate Cortex","topics":["pyramidal"]},{"page":"redwood","title":"California Redwoods Point Pattern (Ripley's Subset)","topics":["redwood","redwood3"]},{"page":"redwoodfull","title":"California Redwoods Point Pattern (Entire Dataset)","topics":["redwoodfull","redwoodfull.extra"]},{"page":"residualspaper","title":"Data and Code From JRSS Discussion Paper on Residuals","topics":["residualspaper"]},{"page":"shapley","title":"Galaxies in the Shapley Supercluster","topics":["shapley","shapley.extra"]},{"page":"shelling","title":"Artillery Impacts in Ukraine","topics":["shelling","shelling2"]},{"page":"simba","title":"Simulated data from a two-group experiment with replication within each group.","topics":["simba"]},{"page":"simdat","title":"Simulated Point Pattern","topics":["simdat"]},{"page":"simplenet","title":"Simple Example of Linear Network","topics":["simplenet"]},{"page":"spiders","title":"Spider Webs on Mortar Lines of a Brick Wall","topics":["spiders"]},{"page":"sporophores","title":"Sporophores Data","topics":["sporophores"]},{"page":"spruces","title":"Spruces Point Pattern","topics":["spruces"]},{"page":"stonetools","title":"Palaeolithic Stone Tools","topics":["stonetools"]},{"page":"swedishpines","title":"Swedish Pines Point Pattern","topics":["swedishpines"]},{"page":"urkiola","title":"Urkiola Woods Point Pattern","topics":["urkiola"]},{"page":"vesicles","title":"Vesicles Data","topics":["vesicles","vesicles.extra"]},{"page":"waka","title":"Trees in Waka national park","topics":["waka"]},{"page":"waterstriders","title":"Waterstriders data.  Three independent replications of a point pattern formed by insects.","topics":["waterstriders"]}],"_readme":"https://github.com/spatstat/spatstat.data/raw/HEAD/README.md","_rundeps":["lattice","Matrix","spatstat.utils"],"_score":10.838015342451278,"_indexed":true,"_nocasepkg":"spatstat.data","_universes":["spatstat","baddstats"],"_binaries":[]}
{"Package":"spatstat.univar","Version":"3.1-1","Date":"2024-11-05","Title":"One-Dimensional Probability Distribution Support for the\n'spatstat' Family","Authors@R":"c(person(\"Adrian\", \"Baddeley\", \nrole = c(\"aut\", \"cre\", \"cph\"),\nemail = \"Adrian.Baddeley@curtin.edu.au\",\ncomment = c(ORCID=\"0000-0001-9499-8382\")),\nperson(c(\"Tilman\", \"M.\"), \"Davies\",\nrole = c(\"aut\", \"ctb\", \"cph\"),\nemail = \"Tilman.Davies@otago.ac.nz\",\ncomment = c(ORCID=\"0000-0003-0565-1825\")),\nperson(c(\"Martin\", \"L.\"), \"Hazelton\",\nrole = c(\"aut\", \"ctb\", \"cph\"),\nemail = \"Martin.Hazelton@otago.ac.nz\",\ncomment = c(ORCID=\"0000-0001-7831-725X\")),\nperson(\"Ege\",   \"Rubak\",\nrole = c(\"aut\", \"cph\"),\nemail = \"rubak@math.aau.dk\",\ncomment=c(ORCID=\"0000-0002-6675-533X\")),\nperson(\"Rolf\", \"Turner\",\nrole = c(\"aut\", \"cph\"),\nemail=\"rolfturner@posteo.net\",\ncomment=c(ORCID=\"0000-0001-5521-5218\")),\nperson(\"Greg\", \"McSwiggan\",\nrole = c(\"ctb\", \"cph\")))","Maintainer":"Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>","Description":"Estimation of one-dimensional probability distributions\nincluding kernel density estimation, weighted empirical\ncumulative distribution functions, Kaplan-Meier and\nreduced-sample estimators for right-censored data, heat\nkernels, kernel properties, quantiles and integration.","License":"GPL (>= 2)","URL":"http://spatstat.org/","NeedsCompilation":"yes","ByteCompile":"true","BugReports":"https://github.com/spatstat/spatstat.univar/issues","Repository":"https://spatstat.r-universe.dev","RemoteUrl":"https://github.com/spatstat/spatstat.univar","RemoteRef":"HEAD","RemoteSha":"0433ae9ba914dcbb7dd0772c3445efe68ab99b31","Packaged":{"Date":"2025-01-04 04:10:05 UTC","User":"root"},"Author":"Adrian Baddeley [aut, cre, cph]\n(<https://orcid.org/0000-0001-9499-8382>),\nTilman M. Davies [aut, ctb, cph]\n(<https://orcid.org/0000-0003-0565-1825>),\nMartin L. Hazelton [aut, ctb, cph]\n(<https://orcid.org/0000-0001-7831-725X>),\nEge Rubak [aut, cph] (<https://orcid.org/0000-0002-6675-533X>),\nRolf Turner [aut, cph] (<https://orcid.org/0000-0001-5521-5218>),\nGreg McSwiggan [ctb, cph]","MD5sum":"f953c4f84445fc6df6f44fa74b7a7f5e","_user":"spatstat","_type":"src","_file":"spatstat.univar_3.1-1.tar.gz","_fileid":"c494bb02e9cff06fd6a36d2fc24b1bb909c6dbad55f903b14d1f5fb136f16ba0","_filesize":400348,"_sha256":"c494bb02e9cff06fd6a36d2fc24b1bb909c6dbad55f903b14d1f5fb136f16ba0","_created":"2025-01-04T04:10:05.000Z","_published":"2025-01-04T04:13:09.662Z","_upstream":"https://github.com/spatstat/spatstat.univar","_commit":{"id":"0433ae9ba914dcbb7dd0772c3445efe68ab99b31","author":"Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>","committer":"Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>","message":"Fix C source to satisfy package checker\n","time":1730778217},"_maintainer":{"name":"Adrian Baddeley","email":"adrian.baddeley@curtin.edu.au","login":"baddstats","uuid":7161794,"orcid":"0000-0001-9499-8382"},"_distro":"noble","_host":"GitHub-Actions","_status":"success","_pkgdocs":"skipped","_winbinary":"success","_macbinary":"success","_wasmbinary":"success","_linuxdevel":"success","_windevel":"success","_buildurl":"https://github.com/r-universe/spatstat/actions/runs/12607376355","_registered":true,"_dependencies":[{"package":"R","version":">= 3.5.0","role":"Depends"},{"package":"stats","role":"Depends"},{"package":"spatstat.utils","version":">= 3.1-1","role":"Imports"}],"_owner":"spatstat","_selfowned":true,"_usedby":230,"_updates":[{"week":"2024-15","n":4},{"week":"2024-16","n":2},{"week":"2024-19","n":1},{"week":"2024-23","n":3},{"week":"2024-24","n":6},{"week":"2024-25","n":1},{"week":"2024-26","n":3},{"week":"2024-27","n":4},{"week":"2024-29","n":2},{"week":"2024-36","n":2},{"week":"2024-39","n":1},{"week":"2024-44","n":4},{"week":"2024-45","n":3}],"_tags":[],"_stars":3,"_contributions":{"baddstats":36},"_userbio":{"uuid":8414375,"type":"organization","name":"The Spatstat Team"},"_downloads":{"count":44160,"source":"https://cranlogs.r-pkg.org/downloads/total/last-month/spatstat.univar"},"_mentions":172,"_devurl":"https://github.com/spatstat/spatstat.univar","_searchresults":1,"_assets":["extra/citation.cff","extra/citation.html","extra/citation.json","extra/citation.txt","extra/contents.json","extra/NEWS.html","extra/NEWS.txt","extra/readme.html","extra/readme.md","extra/spatstat.univar.html","manual.pdf"],"_homeurl":"https://github.com/spatstat/spatstat.univar","_realowner":"spatstat","_cranurl":true,"_releases":[{"version":"2.0-2","date":"2024-04-16"},{"version":"2.0-3","date":"2024-04-29"},{"version":"3.0-0","date":"2024-06-28"},{"version":"3.0-1","date":"2024-09-05"},{"version":"3.1-1","date":"2024-11-05"}],"_exports":["as.breakpts","breakpts","breakpts.from.r","bw.abram","bw.abram.default","bw.pow","bw.taylor","CDF","CDF.density","check.bandwidth","check.hist.lengths","densityAdaptiveKernel","densityAdaptiveKernel.default","densityBC","dkernel","dkernelBC","ewcdf","firstdigit","hotrod","IdenticalRowPair","IdenticalRows","indefinteg","integral","integral.density","kaplan.meier","kermom","kernel.factor","kernel.moment","kernel.squint","km.rs","km.rs.opt","knots.ecdf","knots.ewcdf","lastdigit","make.even.breaks","match.kernel","mean.ecdf","mean.ewcdf","ndigits","pkernel","plot.adaptivedensity","print.ewcdf","qkernel","quantile.density","quantile.ewcdf","quantilefun","quantilefun.ecdf","quantilefun.ewcdf","quantilefun.interpolatedCDF","reduced.sample","rkernel","rounding","rounding.default","stieltjes","StieltjesCalc","StieltjesCalc.stepfun","transformquantiles","uniquemap","uniquemap.data.frame","uniquemap.default","uniquemap.matrix","unnormdensity","weighted.median","weighted.quantile","weighted.var","whist"],"_help":[{"page":"spatstat.univar-package","title":"The spatstat.univar Package","topics":["spatstat.univar-package","spatstat.univar"]},{"page":"bw.abram","title":"Abramson's Adaptive Bandwidths","topics":["bw.abram"]},{"page":"bw.abram.default","title":"Abramson's Adaptive Bandwidths For Numeric Data","topics":["bw.abram.default"]},{"page":"bw.pow","title":"Variable Bandwidths Proportional to a Power of the Data Value","topics":["bw.pow"]},{"page":"bw.taylor","title":"Bandwidth Selection for Kernel Density Estimation by Non-Random Bootstrap","topics":["bw.taylor"]},{"page":"CDF","title":"Cumulative Distribution Function From Kernel Density Estimate","topics":["CDF","CDF.density"]},{"page":"densityAdaptiveKernel","title":"Adaptive Kernel Estimation of Density or Intensity","topics":["densityAdaptiveKernel"]},{"page":"densityAdaptiveKernel.default","title":"Adaptive Kernel Estimation of Probability Density","topics":["densityAdaptiveKernel.default"]},{"page":"densityBC","title":"Kernel Density Estimation with Optional Boundary Correction","topics":["densityBC"]},{"page":"dkernel","title":"Kernel distributions and random generation","topics":["dkernel","pkernel","qkernel","rkernel"]},{"page":"dkernelBC","title":"Boundary-corrected Kernel Density Function","topics":["dkernelBC"]},{"page":"ewcdf","title":"Weighted Empirical Cumulative Distribution Function","topics":["ewcdf"]},{"page":"firstdigit","title":"Digits in Decimal Representation","topics":["firstdigit","lastdigit","ndigits"]},{"page":"hotrod","title":"Heat Kernel for a One-Dimensional Rod","topics":["hotrod"]},{"page":"indefinteg","title":"Indefinite Integral","topics":["indefinteg"]},{"page":"integral","title":"Integral of a Function or Spatial Object","topics":["integral"]},{"page":"integral.density","title":"Compute Integral of One-Dimensional Kernel Density Estimate.","topics":["integral.density"]},{"page":"kaplan.meier","title":"Kaplan-Meier Estimator using Histogram Data","topics":["kaplan.meier"]},{"page":"kernel.factor","title":"Scale factor for density kernel","topics":["kernel.factor"]},{"page":"kernel.moment","title":"Incomplete Moment of Smoothing Kernel","topics":["kernel.moment"]},{"page":"kernel.squint","title":"Integral of Squared Kernel","topics":["kernel.squint"]},{"page":"km.rs","title":"Kaplan-Meier and Reduced Sample Estimator using Histograms","topics":["km.rs"]},{"page":"knots.ewcdf","title":"Jump Points of an Empirical Weighted Cumulative Distribution Function","topics":["knots.ewcdf"]},{"page":"mean.ewcdf","title":"Mean of Empirical Cumulative Distribution Function","topics":["mean.ecdf","mean.ewcdf"]},{"page":"quantile.density","title":"Quantiles of a Density Estimate","topics":["quantile.density"]},{"page":"quantile.ewcdf","title":"Quantiles of Weighted Empirical Cumulative Distribution Function","topics":["quantile.ewcdf"]},{"page":"quantilefun","title":"Quantile Function","topics":["quantilefun","quantilefun.ecdf","quantilefun.ewcdf"]},{"page":"reduced.sample","title":"Reduced Sample Estimator using Histogram Data","topics":["reduced.sample"]},{"page":"rounding","title":"Detect Numerical Rounding","topics":["rounding","rounding.default"]},{"page":"stieltjes","title":"Compute Integral of Function Against Cumulative Distribution","topics":["stieltjes"]},{"page":"transformquantiles","title":"Transform the Quantiles","topics":["transformquantiles"]},{"page":"uniquemap.default","title":"Map Duplicate Entries to Unique Entries","topics":["uniquemap","uniquemap.data.frame","uniquemap.default","uniquemap.matrix"]},{"page":"unnormdensity","title":"Weighted kernel smoother","topics":["unnormdensity"]},{"page":"weighted.median","title":"Weighted Median, Quantiles or Variance","topics":["weighted.median","weighted.quantile","weighted.var"]},{"page":"whist","title":"Weighted Histogram","topics":["whist"]}],"_readme":"https://github.com/spatstat/spatstat.univar/raw/HEAD/README.md","_rundeps":["spatstat.utils"],"_score":9.773912766820915,"_indexed":true,"_nocasepkg":"spatstat.univar","_universes":["spatstat","baddstats"],"_binaries":[]}
{"Package":"spatstat.random","Version":"3.3-2","Date":"2024-09-18","Title":"Random Generation Functionality for the 'spatstat' Family","Authors@R":"c(person(\"Adrian\", \"Baddeley\", \nrole = c(\"aut\", \"cre\", \"cph\"),\nemail = \"Adrian.Baddeley@curtin.edu.au\",\ncomment = c(ORCID=\"0000-0001-9499-8382\")),\nperson(\"Rolf\", \"Turner\",\nrole = c(\"aut\", \"cph\"),\nemail=\"rolfturner@posteo.net\",\ncomment=c(ORCID=\"0000-0001-5521-5218\")),\nperson(\"Ege\",   \"Rubak\",\nrole = c(\"aut\", \"cph\"),\nemail = \"rubak@math.aau.dk\",\ncomment=c(ORCID=\"0000-0002-6675-533X\")),\nperson(\"Tilman\", \"Davies\",\nrole = c(\"aut\", \"cph\"),\ncomment=c(ORCID=\"0000-0003-0565-1825\")),\nperson(\"Kasper\", \"Klitgaard Berthelsen\",\nrole = c(\"ctb\", \"cph\")),\nperson(\"David\", \"Bryant\",\nrole = c(\"ctb\", \"cph\")),\nperson(\"Ya-Mei\", \"Chang\",\nrole = c(\"ctb\", \"cph\"),\nemail = \"yamei628@gmail.com\"),\nperson(\"Ute\", \"Hahn\",\nrole = \"ctb\"),\nperson(\"Abdollah\", \"Jalilian\",\nrole = \"ctb\"),\nperson(\"Dominic\", \"Schuhmacher\",\nrole = c(\"ctb\", \"cph\")),\nperson(\"Rasmus\", \"Plenge Waagepetersen\",\nrole = c(\"ctb\", \"cph\")))","Maintainer":"Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>","Description":"Functionality for random generation of spatial data in the\n'spatstat' family of packages. Generates random spatial\npatterns of points according to many simple rules (complete\nspatial randomness, Poisson, binomial, random grid, systematic,\ncell), randomised alteration of patterns (thinning, random\nshift, jittering), simulated realisations of random point\nprocesses including simple sequential inhibition, Matern\ninhibition models, Neyman-Scott cluster processes (using\ndirect, Brix-Kendall, or hybrid algorithms), log-Gaussian Cox\nprocesses, product shot noise cluster processes and Gibbs point\nprocesses (using Metropolis-Hastings birth-death-shift\nalgorithm, alternating Gibbs sampler, or coupling-from-the-past\nperfect simulation). Also generates random spatial patterns of\nline segments, random tessellations, and random images (random\nnoise, random mosaics). Excludes random generation on a linear\nnetwork, which is covered by the separate package\n'spatstat.linnet'.","License":"GPL (>= 2)","URL":"http://spatstat.org/","NeedsCompilation":"yes","ByteCompile":"true","BugReports":"https://github.com/spatstat/spatstat.random/issues","Repository":"https://spatstat.r-universe.dev","RemoteUrl":"https://github.com/spatstat/spatstat.random","RemoteRef":"HEAD","RemoteSha":"0f7faa797f2438e5851e9863dbea7d7fdcd4663e","Packaged":{"Date":"2024-12-17 05:27:27 UTC","User":"root"},"Author":"Adrian Baddeley [aut, cre, cph]\n(<https://orcid.org/0000-0001-9499-8382>),\nRolf Turner [aut, cph] (<https://orcid.org/0000-0001-5521-5218>),\nEge Rubak [aut, cph] (<https://orcid.org/0000-0002-6675-533X>),\nTilman Davies [aut, cph] (<https://orcid.org/0000-0003-0565-1825>),\nKasper Klitgaard Berthelsen [ctb, cph],\nDavid Bryant [ctb, cph],\nYa-Mei Chang [ctb, cph],\nUte Hahn [ctb],\nAbdollah Jalilian [ctb],\nDominic Schuhmacher [ctb, cph],\nRasmus Plenge Waagepetersen [ctb, cph]","MD5sum":"10687c6379dc8f7bc12525cc7f85cf67","_user":"spatstat","_type":"src","_file":"spatstat.random_3.3-2.tar.gz","_fileid":"8b094a25995d3269fc52f12fcd82f671847b88ab57122e479f979bb8108718d9","_filesize":1001475,"_sha256":"8b094a25995d3269fc52f12fcd82f671847b88ab57122e479f979bb8108718d9","_created":"2024-12-17T05:27:27.000Z","_published":"2024-12-17T05:31:48.679Z","_upstream":"https://github.com/spatstat/spatstat.random","_commit":{"id":"0f7faa797f2438e5851e9863dbea7d7fdcd4663e","author":"Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>","committer":"Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>","message":"Ready for CRAN\n","time":1726637340},"_maintainer":{"name":"Adrian Baddeley","email":"adrian.baddeley@curtin.edu.au","login":"baddstats","uuid":7161794,"orcid":"0000-0001-9499-8382"},"_distro":"noble","_host":"GitHub-Actions","_status":"success","_pkgdocs":"skipped","_winbinary":"success","_macbinary":"success","_wasmbinary":"none","_linuxdevel":"success","_windevel":"success","_buildurl":"https://github.com/r-universe/spatstat/actions/runs/12366930709","_registered":true,"_dependencies":[{"package":"R","version":">= 3.5.0","role":"Depends"},{"package":"spatstat.data","version":">= 3.1","role":"Depends"},{"package":"spatstat.univar","version":">= 3.0-0","role":"Depends"},{"package":"spatstat.geom","version":">= 3.3-0","role":"Depends"},{"package":"stats","role":"Depends"},{"package":"utils","role":"Depends"},{"package":"methods","role":"Depends"},{"package":"grDevices","role":"Depends"},{"package":"spatstat.utils","version":">= 3.1-0","role":"Imports"},{"package":"spatial","role":"Suggests"},{"package":"spatstat.linnet","version":">= 3.1-5","role":"Suggests"},{"package":"spatstat.explore","role":"Suggests"},{"package":"spatstat.model","role":"Suggests"},{"package":"spatstat","version":">= 3.0","role":"Suggests"},{"package":"gsl","role":"Suggests"}],"_owner":"spatstat","_selfowned":true,"_usedby":166,"_updates":[{"week":"2024-06","n":1},{"week":"2024-09","n":2},{"week":"2024-16","n":1},{"week":"2024-19","n":1},{"week":"2024-23","n":2},{"week":"2024-24","n":3},{"week":"2024-25","n":1},{"week":"2024-26","n":2},{"week":"2024-27","n":1},{"week":"2024-28","n":1},{"week":"2024-29","n":1},{"week":"2024-30","n":1},{"week":"2024-32","n":1},{"week":"2024-38","n":1}],"_tags":[{"name":"v3.3-0","date":"2024-07-06"},{"name":"v3.3-2","date":"2024-09-18"}],"_topics":["point-processes","random-generation","simulation","spatial-sampling","spatial-simulation","cpp"],"_stars":5,"_contributions":{"baddstats":115,"rubak":1},"_userbio":{"uuid":8414375,"type":"organization","name":"The Spatstat Team"},"_downloads":{"count":43617,"source":"https://cranlogs.r-pkg.org/downloads/total/last-month/spatstat.random"},"_mentions":172,"_devurl":"https://github.com/spatstat/spatstat.random","_searchresults":84,"_assets":["extra/citation.cff","extra/citation.html","extra/citation.json","extra/citation.txt","extra/contents.json","extra/NEWS.html","extra/NEWS.txt","extra/readme.html","extra/readme.md","extra/spatstat.random.html","manual.pdf"],"_homeurl":"https://github.com/spatstat/spatstat.random","_realowner":"spatstat","_cranurl":true,"_releases":[{"version":"2.0-0","date":"2022-01-06"},{"version":"2.1-0","date":"2022-02-12"},{"version":"2.2-0","date":"2022-03-30"},{"version":"3.0-0","date":"2022-11-01"},{"version":"3.0-1","date":"2022-11-03"},{"version":"3.1-2","date":"2023-01-24"},{"version":"3.1-3","date":"2023-01-25"},{"version":"3.1-4","date":"2023-03-13"},{"version":"3.1-5","date":"2023-05-11"},{"version":"3.1-6","date":"2023-09-09"},{"version":"3.2-1","date":"2023-10-22"},{"version":"3.2-2","date":"2023-11-29"},{"version":"3.2-3","date":"2024-02-29"},{"version":"3.3-1","date":"2024-07-15"},{"version":"3.3-2","date":"2024-09-18"}],"_exports":["as.owin.rmhmodel","change.default.expand","clusterfield","clusterfield.character","clusterfield.function","clusterkernel","clusterkernel.character","clusterradius","clusterradius.character","datagen.rpoisppOnLines","datagen.runifpointOnLines","datagen.runifpoisppOnLines","default.clipwindow","default.expand","default.rmhcontrol","detect.par.format","dknn","dmixpois","domain.rmhmodel","dpakes","expand.owin","expandwinPerfect","fakeNeyScot","gauss.hermite","getRandomFieldsModelGen","handle.rshift.args","HermiteCoefs","is.cadlag","is.expandable","is.expandable.rmhmodel","is.poisson","is.poisson.rmhmodel","is.stationary","is.stationary.rmhmodel","kraever","kraeverRandomFields","MultiPair.checkmatrix","optimalinflation","pknn","pmixpois","ppakes","print.rmhcontrol","print.rmhexpand","print.rmhInfoList","print.rmhmodel","print.rmhstart","print.summary.rmhexpand","qknn","qmixpois","qpakes","quadratresample","rags","ragsAreaInter","ragsMultiHard","RandomFieldsSafe","rCauchy","rCauchyHom","rcell","rcellnumber","rclusterBKBC","rDGS","rDiggleGratton","reach","reach.rmhmodel","recipEnzpois","reheat","resolve.vargamma.shape","retrieve.param","rGaussPoisson","rGRFcircembed","rGRFexpo","rGRFgauss","rGRFgencauchy","rGRFmatern","rGRFstable","rHardcore","rjitter.psp","rknn","rlabel","rLGCP","rMatClust","rMatClustHom","rMaternI","rMaternII","rMaternInhibition","rmh","rmh.default","rmhcontrol","rmhcontrol.default","rmhcontrol.list","rmhcontrol.rmhcontrol","rmhEngine","rmhexpand","RmhExpandRule","rmhmodel","rmhmodel.default","rmhmodel.list","rmhmodel.rmhmodel","rmhResolveControl","rmhResolveExpansion","rmhResolveTypes","rmhsnoop","rmhSnoopEnv","rmhstart","rmhstart.default","rmhstart.list","rmhstart.rmhstart","rmixpois","rMosaicField","rMosaicSet","rmpoint","rmpoint.I.allim","rmpoispp","rNeymanScott","rnoise","rpakes","rPenttinen","rpoint","rpoint.multi","rpoisline","rpoislinetess","rpoisnonzero","rpoispp","rpoispp3","rpoisppOnLines","rpoisppx","rPoissonCluster","rPoissonClusterEngine","rpoistrunc","rPSNCP","rshift","rshift.ppp","rshift.psp","rshift.splitppp","rSSI","rstrat","rStrauss","rStraussHard","rtemper","rthin","rthinclumps","rthinEngine","rThomas","rThomasHom","runifdisc","runifpoint","runifpoint3","runifpointOnLines","runifpointx","runifpoispp","runifpoisppOnLines","rVarGamma","spatstatClusterModelInfo","spatstatClusterSimInfo","spatstatClusterSimModelMatch","spatstatRmhInfo","summarise.trend","summary.rmhexpand","thinjump","thinParents","update.rmhcontrol","update.rmhstart","validate.kappa.mu","will.expand","Window.rmhmodel"],"_help":[{"page":"spatstat.random-package","title":"The spatstat.random Package","topics":["spatstat.random-package","spatstat.random"]},{"page":"as.owin.rmhmodel","title":"Convert Data To Class owin","topics":["as.owin.rmhmodel"]},{"page":"clusterfield","title":"Field of clusters","topics":["clusterfield","clusterfield.character","clusterfield.function"]},{"page":"clusterkernel","title":"Extract Cluster Offspring Kernel","topics":["clusterkernel","clusterkernel.character"]},{"page":"clusterradius","title":"Compute or Extract Effective Range of Cluster Kernel","topics":["clusterradius","clusterradius.character"]},{"page":"default.expand","title":"Default Expansion Rule for Simulation of Model","topics":["default.expand"]},{"page":"default.rmhcontrol","title":"Set Default Control Parameters for Metropolis-Hastings Algorithm.","topics":["default.rmhcontrol"]},{"page":"dmixpois","title":"Mixed Poisson Distribution","topics":["dmixpois","pmixpois","qmixpois","rmixpois"]},{"page":"domain.rmhmodel","title":"Extract the Domain of any Spatial Object","topics":["domain.rmhmodel"]},{"page":"dpakes","title":"Pakes distribution","topics":["dpakes","ppakes","qpakes","rpakes"]},{"page":"expand.owin","title":"Apply Expansion Rule","topics":["expand.owin"]},{"page":"gauss.hermite","title":"Gauss-Hermite Quadrature Approximation to Expectation for Normal Distribution","topics":["gauss.hermite"]},{"page":"is.stationary","title":"Recognise Stationary and Poisson Point Process Models","topics":["is.poisson","is.poisson.rmhmodel","is.stationary","is.stationary.rmhmodel"]},{"page":"quadratresample","title":"Resample a Point Pattern by Resampling Quadrats","topics":["quadratresample"]},{"page":"rags","title":"Alternating Gibbs Sampler for Multitype Point Processes","topics":["rags"]},{"page":"ragsAreaInter","title":"Alternating Gibbs Sampler for Area-Interaction Process","topics":["ragsAreaInter"]},{"page":"ragsMultiHard","title":"Alternating Gibbs Sampler for Multitype Hard Core Process","topics":["ragsMultiHard"]},{"page":"rCauchy","title":"Simulate Neyman-Scott Point Process with Cauchy cluster kernel","topics":["rCauchy"]},{"page":"rcell","title":"Simulate Baddeley-Silverman Cell Process","topics":["rcell"]},{"page":"rcellnumber","title":"Generate Random Numbers of Points for Cell Process","topics":["rcellnumber"]},{"page":"rclusterBKBC","title":"Simulate Cluster Process using Brix-Kendall Algorithm or Modifications","topics":["rclusterBKBC"]},{"page":"rDGS","title":"Perfect Simulation of the Diggle-Gates-Stibbard Process","topics":["rDGS"]},{"page":"rDiggleGratton","title":"Perfect Simulation of the Diggle-Gratton Process","topics":["rDiggleGratton"]},{"page":"reach","title":"Interaction Distance of a Point Process Model","topics":["reach","reach.rmhmodel"]},{"page":"recipEnzpois","title":"First Reciprocal Moment of the Truncated Poisson Distribution","topics":["recipEnzpois"]},{"page":"rGaussPoisson","title":"Simulate Gauss-Poisson Process","topics":["rGaussPoisson"]},{"page":"rHardcore","title":"Perfect Simulation of the Hardcore Process","topics":["rHardcore"]},{"page":"rjitter.psp","title":"Random Perturbation of Line Segment Pattern","topics":["rjitter.psp"]},{"page":"rknn","title":"Theoretical Distribution of Nearest Neighbour Distance","topics":["dknn","pknn","qknn","rknn"]},{"page":"rlabel","title":"Random Re-Labelling of Point Pattern","topics":["rlabel"]},{"page":"rLGCP","title":"Simulate Log-Gaussian Cox Process","topics":["rLGCP"]},{"page":"rMatClust","title":"Simulate Matern Cluster Process","topics":["rMatClust"]},{"page":"rMaternI","title":"Simulate Matern Model I","topics":["rMaternI"]},{"page":"rMaternII","title":"Simulate Matern Model II","topics":["rMaternII"]},{"page":"rmh","title":"Simulate point patterns using the Metropolis-Hastings algorithm.","topics":["rmh"]},{"page":"rmh.default","title":"Simulate Point Process Models using the Metropolis-Hastings Algorithm.","topics":["rmh.default"]},{"page":"rmhcontrol","title":"Set Control Parameters for Metropolis-Hastings Algorithm.","topics":["rmhcontrol","rmhcontrol.default"]},{"page":"rmhexpand","title":"Specify Simulation Window or Expansion Rule","topics":["rmhexpand"]},{"page":"rmhmodel","title":"Define Point Process Model for Metropolis-Hastings Simulation.","topics":["rmhmodel"]},{"page":"rmhmodel.default","title":"Build Point Process Model for Metropolis-Hastings Simulation.","topics":["rmhmodel.default"]},{"page":"rmhmodel.list","title":"Define Point Process Model for Metropolis-Hastings Simulation.","topics":["rmhmodel.list"]},{"page":"rmhstart","title":"Determine Initial State for Metropolis-Hastings Simulation.","topics":["rmhstart","rmhstart.default"]},{"page":"rMosaicField","title":"Mosaic Random Field","topics":["rMosaicField"]},{"page":"rMosaicSet","title":"Mosaic Random Set","topics":["rMosaicSet"]},{"page":"rmpoint","title":"Generate N Random Multitype Points","topics":["rmpoint"]},{"page":"rmpoispp","title":"Generate Multitype Poisson Point Pattern","topics":["rmpoispp"]},{"page":"rNeymanScott","title":"Simulate Neyman-Scott Process","topics":["rNeymanScott"]},{"page":"rnoise","title":"Random Pixel Noise","topics":["rnoise"]},{"page":"rPenttinen","title":"Perfect Simulation of the Penttinen Process","topics":["rPenttinen"]},{"page":"rpoint","title":"Generate N Random Points","topics":["rpoint"]},{"page":"rpoisline","title":"Generate Poisson Random Line Process","topics":["rpoisline"]},{"page":"rpoislinetess","title":"Poisson Line Tessellation","topics":["rpoislinetess"]},{"page":"rpoispp","title":"Generate Poisson Point Pattern","topics":["rpoispp"]},{"page":"rpoispp3","title":"Generate Poisson Point Pattern in Three Dimensions","topics":["rpoispp3"]},{"page":"rpoisppOnLines","title":"Generate Poisson Point Pattern on Line Segments","topics":["rpoisppOnLines"]},{"page":"rpoisppx","title":"Generate Poisson Point Pattern in Any Dimensions","topics":["rpoisppx"]},{"page":"rPoissonCluster","title":"Simulate Poisson Cluster Process","topics":["rPoissonCluster"]},{"page":"rpoistrunc","title":"Random Values from the Truncated Poisson Distribution","topics":["rpoisnonzero","rpoistrunc"]},{"page":"rPSNCP","title":"Simulate Product Shot-noise Cox Process","topics":["rPSNCP"]},{"page":"rshift","title":"Random Shift","topics":["rshift"]},{"page":"rshift.ppp","title":"Randomly Shift a Point Pattern","topics":["rshift.ppp"]},{"page":"rshift.psp","title":"Randomly Shift a Line Segment Pattern","topics":["rshift.psp"]},{"page":"rshift.splitppp","title":"Randomly Shift a List of Point Patterns","topics":["rshift.splitppp"]},{"page":"rSSI","title":"Simulate Simple Sequential Inhibition","topics":["rSSI"]},{"page":"rstrat","title":"Simulate Stratified Random Point Pattern","topics":["rstrat"]},{"page":"rStrauss","title":"Perfect Simulation of the Strauss Process","topics":["rStrauss"]},{"page":"rStraussHard","title":"Perfect Simulation of the Strauss-Hardcore Process","topics":["rStraussHard"]},{"page":"rtemper","title":"Simulated Annealing or Simulated Tempering for Gibbs Point Processes","topics":["rtemper"]},{"page":"rthin","title":"Random Thinning","topics":["rthin"]},{"page":"rthinclumps","title":"Random Thinning of Clumps","topics":["rthinclumps"]},{"page":"rThomas","title":"Simulate Thomas Process","topics":["rThomas"]},{"page":"runifdisc","title":"Generate N Uniform Random Points in a Disc","topics":["runifdisc"]},{"page":"runifpoint","title":"Generate N Uniform Random Points","topics":["runifpoint"]},{"page":"runifpoint3","title":"Generate N Uniform Random Points in Three Dimensions","topics":["runifpoint3"]},{"page":"runifpointOnLines","title":"Generate N Uniform Random Points On Line Segments","topics":["runifpointOnLines"]},{"page":"runifpointx","title":"Generate N Uniform Random Points in Any Dimensions","topics":["runifpointx"]},{"page":"rVarGamma","title":"Simulate Neyman-Scott Point Process with Variance Gamma cluster kernel","topics":["rVarGamma"]},{"page":"update.rmhcontrol","title":"Update Control Parameters of Metropolis-Hastings Algorithm","topics":["update.rmhcontrol"]},{"page":"will.expand","title":"Test Expansion Rule","topics":["will.expand"]},{"page":"Window.rmhmodel","title":"Extract Window of Spatial Object","topics":["Window.rmhmodel"]}],"_readme":"https://github.com/spatstat/spatstat.random/raw/HEAD/README.md","_rundeps":["deldir","lattice","Matrix","polyclip","spatstat.data","spatstat.geom","spatstat.univar","spatstat.utils"],"_sysdeps":[{"package":"libstdc++6","source":"gcc","version":"14.2.0-4ubuntu2~24.04","name":"c++","homepage":"http://gcc.gnu.org/","description":"GNU Standard C++ Library v3"}],"_score":10.805232464440893,"_indexed":true,"_nocasepkg":"spatstat.random","_universes":["spatstat","baddstats"],"_binaries":[]}
{"Package":"spatstat.sparse","Version":"3.1-0","Date":"2024-06-21","Title":"Sparse Three-Dimensional Arrays and Linear Algebra Utilities","Authors@R":"c(person(\"Adrian\", \"Baddeley\", \nrole = c(\"aut\", \"cre\", \"cph\"),\nemail = \"Adrian.Baddeley@curtin.edu.au\",\ncomment = c(ORCID=\"0000-0001-9499-8382\")),\nperson(\"Rolf\", \"Turner\",\nrole = c(\"aut\", \"cph\"),\nemail=\"rolfturner@posteo.net\",\ncomment=c(ORCID=\"0000-0001-5521-5218\")),\nperson(\"Ege\",   \"Rubak\",\nrole = c(\"aut\", \"cph\"),\nemail = \"rubak@math.aau.dk\",\ncomment=c(ORCID=\"0000-0002-6675-533X\")))","Maintainer":"Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>","Description":"Defines sparse three-dimensional arrays and supports\nstandard operations on them. The package also includes utility\nfunctions for matrix calculations that are common in\nstatistics, such as quadratic forms.","License":"GPL (>= 2)","URL":"http://spatstat.org/","NeedsCompilation":"yes","ByteCompile":"true","BugReports":"https://github.com/spatstat/spatstat.sparse/issues","Repository":"https://spatstat.r-universe.dev","RemoteUrl":"https://github.com/spatstat/spatstat.sparse","RemoteRef":"HEAD","RemoteSha":"2ec9bab3c8234556ea936041655fa26d8f12d101","Packaged":{"Date":"2024-12-13 02:55:40 UTC","User":"root"},"Author":"Adrian Baddeley [aut, cre, cph]\n(<https://orcid.org/0000-0001-9499-8382>),\nRolf Turner [aut, cph] (<https://orcid.org/0000-0001-5521-5218>),\nEge Rubak [aut, cph] (<https://orcid.org/0000-0002-6675-533X>)","MD5sum":"9ef643a26f2c6300bde2b19a3e57d4ce","_user":"spatstat","_type":"src","_file":"spatstat.sparse_3.1-0.tar.gz","_fileid":"c0022bb981add4ee7ff40ade7cedf16f3d643a9644ecc4fbee061db4b222c05d","_filesize":244278,"_sha256":"c0022bb981add4ee7ff40ade7cedf16f3d643a9644ecc4fbee061db4b222c05d","_created":"2024-12-13T02:55:40.000Z","_published":"2024-12-13T03:02:41.907Z","_upstream":"https://github.com/spatstat/spatstat.sparse","_commit":{"id":"2ec9bab3c8234556ea936041655fa26d8f12d101","author":"Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>","committer":"Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>","message":"Fix badge\n","time":1721090653},"_maintainer":{"name":"Adrian Baddeley","email":"adrian.baddeley@curtin.edu.au","login":"baddstats","uuid":7161794,"orcid":"0000-0001-9499-8382"},"_distro":"noble","_host":"GitHub-Actions","_status":"success","_pkgdocs":"skipped","_winbinary":"success","_macbinary":"success","_wasmbinary":"success","_linuxdevel":"success","_windevel":"success","_buildurl":"https://github.com/r-universe/spatstat/actions/runs/12308703235","_registered":true,"_dependencies":[{"package":"R","version":">= 3.5.0","role":"Depends"},{"package":"stats","role":"Depends"},{"package":"utils","role":"Depends"},{"package":"methods","role":"Depends"},{"package":"Matrix","role":"Depends"},{"package":"abind","role":"Depends"},{"package":"tensor","role":"Depends"},{"package":"spatstat.utils","version":">= 3.0-5","role":"Imports"}],"_owner":"spatstat","_selfowned":true,"_usedby":142,"_updates":[{"week":"2024-24","n":2},{"week":"2024-25","n":2},{"week":"2024-29","n":1}],"_tags":[],"_topics":["arrays","sparse-matrix","sparse-representations"],"_stars":2,"_contributions":{"baddstats":57,"rubak":6},"_userbio":{"uuid":8414375,"type":"organization","name":"The Spatstat Team"},"_downloads":{"count":37569,"source":"https://cranlogs.r-pkg.org/downloads/total/last-month/spatstat.sparse"},"_mentions":172,"_devurl":"https://github.com/spatstat/spatstat.sparse","_searchresults":5,"_assets":["extra/citation.cff","extra/citation.html","extra/citation.json","extra/citation.txt","extra/contents.json","extra/NEWS.html","extra/NEWS.txt","extra/readme.html","extra/readme.md","extra/spatstat.sparse.html","manual.pdf"],"_homeurl":"https://github.com/spatstat/spatstat.sparse","_realowner":"spatstat","_cranurl":true,"_releases":[{"version":"1.1-0","date":"2020-06-04"},{"version":"1.2-0","date":"2021-01-08"},{"version":"1.2-1","date":"2021-02-06"},{"version":"2.0-0","date":"2021-03-16"},{"version":"2.1-0","date":"2021-12-17"},{"version":"2.1-1","date":"2022-04-18"},{"version":"3.0-0","date":"2022-10-21"},{"version":"3.0-1","date":"2023-03-12"},{"version":"3.0-2","date":"2023-06-25"},{"version":"3.0-3","date":"2023-10-24"},{"version":"3.1-0","date":"2024-06-21"}],"_exports":["[.sparse3Darray","[<-.sparse3Darray","anyNA.sparse3Darray","aperm.sparse3Darray","applySparseEntries","as.array.sparse3Darray","as.sparse3Darray","bilinearform","bind.sparse3Darray","check.anySparseVector","check.mat.mul","checksolve","Complex.sparse3Darray","dim.sparse3Darray","dim<-.sparse3Darray","dimnames.sparse3Darray","dimnames<-.sparse3Darray","EntriesToSparse","evalSparse3Dentrywise","expandSparse","gridadjacencymatrix","inside3Darray","mapSparseEntries","marginSumsSparse","Math.sparse3Darray","matrixinvsqrt","matrixpower","matrixsqrt","Ops.sparse3Darray","print.sparse3Darray","quadform","rbindCompatibleDataFrames","representativeRows","sparse3Darray","SparseEntries","SparseIndices","sparseVectorCumul","Summary.sparse3Darray","sumouter","sumsymouter","sumsymouterSparse","tensor1x1","tensorSparse","unionOfSparseIndices"],"_help":[{"page":"spatstat.sparse-package","title":"The spatstat.sparse Package","topics":["spatstat.sparse-package","spatstat.sparse"]},{"page":"aperm.sparse3Darray","title":"Transposition of Sparse Array","topics":["aperm.sparse3Darray"]},{"page":"as.array.sparse3Darray","title":"Convert Sparse Array to Full Array","topics":["as.array.sparse3Darray"]},{"page":"as.sparse3Darray","title":"Convert Data to a Sparse Three-Dimensional Array","topics":["as.sparse3Darray"]},{"page":"bind.sparse3Darray","title":"Combine Three-Dimensional Sparse Arrays","topics":["bind.sparse3Darray"]},{"page":"Extract.sparse3Darray","title":"Extract or Replace Entries in a Sparse Array","topics":["[.sparse3Darray","[<-.sparse3Darray"]},{"page":"gridadjacencymatrix","title":"Create Adjacency Matrix for Spatial Grid","topics":["gridadjacencymatrix"]},{"page":"marginSumsSparse","title":"Margin Sums of a Sparse Matrix or Sparse Array","topics":["marginSumsSparse"]},{"page":"Math.sparse3Darray","title":"S3 Group Generic Methods for Sparse Three-Dimensional Arrays","topics":["Complex.sparse3Darray","Math.sparse3Darray","Ops.sparse3Darray","Summary.sparse3Darray"]},{"page":"matrixpower","title":"Power of a Matrix","topics":["matrixinvsqrt","matrixpower","matrixsqrt"]},{"page":"methods.sparse3Darray","title":"Methods for Sparse Three-Dimensional Arrays","topics":["anyNA.sparse3Darray","dim.sparse3Darray","dim<-.sparse3Darray","dimnames.sparse3Darray","dimnames<-.sparse3Darray","methods.sparse3Darray","print.sparse3Darray"]},{"page":"sparse3Darray","title":"Create a Sparse Three-Dimensional Array","topics":["sparse3Darray"]},{"page":"sumouter","title":"Compute Quadratic Forms","topics":["bilinearform","quadform","sumouter"]},{"page":"tensorSparse","title":"Tensor Product of Sparse Vectors, Matrices or Arrays","topics":["tensorSparse"]}],"_readme":"https://github.com/spatstat/spatstat.sparse/raw/HEAD/README.md","_rundeps":["abind","lattice","Matrix","spatstat.utils","tensor"],"_score":8.681360489123673,"_indexed":true,"_nocasepkg":"spatstat.sparse","_universes":["spatstat","baddstats"],"_binaries":[]}
{"Package":"RandomFieldsUtils","Version":"1.2.5","Title":"Utilities for the Simulation and Analysis of Random Fields and\nGenetic Data","Author":"Martin Schlather [aut, cre], Alexander FreudenBerg [aut],\nReinhard Furrer [ctb], Martin Kroll [ctb], Brian D. Ripley\n[ctb], John W. Ratcliff et al. (cph)","Maintainer":"Martin Schlather <schlather@math.uni-mannheim.de>","Description":"Various utilities are provided that might be used in\nspatial statistics and elsewhere. It delivers a method for\nsolving linear equations that checks the sparsity of the matrix\nbefore any algorithm is used.","Copyright":"MIT licence on sse2neon.H","License":"GPL (>= 3)","URL":"","Packaged":{"Date":"2024-12-24 06:14:07 UTC","User":"root"},"NeedsCompilation":"yes","Date/Publication":"2022-04-19 11:32:32 UTC","Repository":"https://spatstat.r-universe.dev","RemoteUrl":"https://github.com/rubak/RandomFieldsUtils","RemoteRef":"HEAD","RemoteSha":"8104bbc1fb4b83dfc49df5b8627d26a49539882b","MD5sum":"c36adb895fec13c54de29b66d72a7174","_user":"spatstat","_type":"src","_file":"RandomFieldsUtils_1.2.5.tar.gz","_fileid":"085e2321854c6aea2dd702c5c91173719a20243dfb176dc9ebc963029dbbf020","_filesize":581184,"_sha256":"085e2321854c6aea2dd702c5c91173719a20243dfb176dc9ebc963029dbbf020","_created":"2024-12-24T06:14:07.000Z","_published":"2024-12-26T02:39:47.719Z","_upstream":"https://github.com/rubak/RandomFieldsUtils","_commit":{"id":"8104bbc1fb4b83dfc49df5b8627d26a49539882b","author":"rubak <rubak@math.aau.dk>","committer":"rubak <rubak@math.aau.dk>","message":"Add \"%s\" to avoid errors from compiler flag \"-Werror=format-security\".\n","time":1717887662},"_maintainer":{"name":"Martin Schlather","email":"schlather@math.uni-mannheim.de","login":"schlather","uuid":52738171},"_distro":"noble","_host":"GitHub-Actions","_status":"success","_pkgdocs":"skipped","_winbinary":"success","_macbinary":"success","_wasmbinary":"success","_linuxdevel":"none","_windevel":"none","_buildurl":"https://github.com/r-universe/spatstat/actions/runs/12477826283","_registered":true,"_dependencies":[{"package":"R","version":">= 3.0","role":"Depends"},{"package":"utils","role":"Imports"},{"package":"methods","role":"Imports"},{"package":"parallel","role":"Imports"},{"package":"spam","role":"Suggests"},{"package":"RandomFields","role":"Suggests"}],"_owner":"rubak","_selfowned":false,"_usedby":0,"_updates":[{"week":"2024-23","n":1}],"_tags":[],"_stars":0,"_contributions":{"schlather":29,"rubak":1},"_userbio":{"uuid":8414375,"type":"organization","name":"The Spatstat Team"},"_downloads":{"count":300,"source":"https://cranlogs.r-pkg.org/downloads/total/last-month/RandomFieldsUtils"},"_mentions":1,"_devurl":"https://github.com/rubak/randomfieldsutils","_searchresults":91,"_fortran":true,"_topics":["fortran","openblas","cpp","openmp"],"_assets":["extra/citation.cff","extra/citation.html","extra/citation.json","extra/citation.txt","extra/contents.json","extra/RandomFieldsUtils.html","manual.pdf"],"_cranurl":false,"_releases":[{"version":"0.0.1","date":"2015-04-09"},{"version":"0.0.2","date":"2015-04-20"},{"version":"0.0.7","date":"2015-06-03"},{"version":"0.0.10","date":"2015-07-10"},{"version":"0.0.12","date":"2015-11-05"},{"version":"0.0.14","date":"2015-12-15"},{"version":"0.1.0","date":"2016-04-23"},{"version":"0.2.1","date":"2016-06-23"},{"version":"0.2.1.1","date":"2016-06-29"},{"version":"0.3.2","date":"2016-09-09"},{"version":"0.3.3","date":"2016-09-12"},{"version":"0.3.3.1","date":"2016-10-11"},{"version":"0.3.8","date":"2016-12-23"},{"version":"0.3.15","date":"2016-12-25"},{"version":"0.3.20","date":"2017-03-21"},{"version":"0.3.21","date":"2017-04-06"},{"version":"0.3.23","date":"2017-04-13"},{"version":"0.3.25","date":"2017-04-14"},{"version":"0.5","date":"2019-02-10"},{"version":"0.5.1","date":"2019-02-14"},{"version":"0.5.3","date":"2019-03-04"},{"version":"0.5.4","date":"2021-09-22"},{"version":"0.5.5","date":"2021-10-05"},{"version":"0.5.6","date":"2021-10-21"},{"version":"1.0.11","date":"2021-11-20"},{"version":"1.1.0","date":"2022-01-18"},{"version":"1.2.2","date":"2022-03-24"},{"version":"1.2.3","date":"2022-03-31"},{"version":"1.2.5","date":"2022-04-19"}],"_exports":["checkExamples","chol2mv","cholPosDef","cholx","colMax","confirm","crossprodx","dbinorm","debugging_level","Dependencies","dotXV","FileExists","gauss","hostname","I0L0","LA_AUTO","LA_GPU","LA_INTERN","LA_QUERY","LA_R","LockRemove","matern","misses.simd.instruction","nonstwm","orderx","pid","PIVOT_AUTO","PIVOT_DO","PIVOT_IDX","PIVOT_NONE","Print","quadratic","RFoptions","rowMeansx","rowProd","scalarx","SelfDivByRow","sleep.micro","sleep.milli","solvePosDef","solvex","sortx","struveH","struveL","tcholRHS","uses.simd.instruction","WaitOthers","whittle"],"_help":[{"page":"cholPosDef","title":"Cholesky Decomposition of Positive Definite Matrices","topics":["chol","chol2mv","cholesky","cholPosDef","cholx","tcholRHS"]},{"page":"confirm","title":"Test if Two Objects are (Nearly) Equal","topics":["confirm"]},{"page":"dbinorm","title":"Density of a bivariate normal distribution","topics":["dbinorm"]},{"page":"fileexists","title":"Files","topics":["FileExists","LockFile","LockRemove","WaitOthers"]},{"page":"gauss","title":"Gaussian Covariance Model","topics":["gauss"]},{"page":"hostname","title":"System calls","topics":["hostname","pid"]},{"page":"uses.instruction.set","title":"CPU instruction set","topics":["misses.simd.instruction","uses.simd.instruction"]},{"page":"internal","title":"Internal functions","topics":["checkExamples","debugging_level","Dependencies"]},{"page":"matern","title":"Whittle-Matern Model","topics":["matern","sobolev","whittle","whittle-matern"]},{"page":"nonstwm","title":"nonstwm","topics":["nonstwm"]},{"page":"orderx","title":"Ordering Permutation","topics":["orderx"]},{"page":"Print","title":"Print method returning also the names automatically","topics":["Print"]},{"page":"RFoptions","title":"Setting control arguments","topics":["LA_AUTO","LA_GPU","LA_INTERN","LA_QUERY","LA_R","PIVOTSPARSE_MMD","PIVOTSPARSE_RCM","PIVOT_AUTO","PIVOT_DO","PIVOT_IDX","PIVOT_NONE","RFoptions"]},{"page":"rowMeansx","title":"Some Further Row and Column Functions","topics":["colMax","crossprodx","dotXV","quadratic","rowMeans","rowMeansx","rowProd","scalarx","SelfDivByRow"]},{"page":"sleep","title":"Sleep","topics":["sleep","sleep.micro","sleep.milli"]},{"page":"solvePosDef","title":"Solve a System of Equations for Positive Definite Matrices","topics":["solve","solvePosDef","solvex"]},{"page":"sortx","title":"Sorting Vectors","topics":["sortx"]},{"page":"Struve","title":"Modified Struve functions and related functions","topics":["bessel","I0L0","I0ML0","Struve","struve","struveH","struveL"]}],"_rundeps":[],"_sysdeps":[{"package":"libopenblas0-pthread","source":"openblas","version":"0.3.26+ds-1","name":"openblas","homepage":"https://www.openblas.net/","description":"Optimized BLAS (linear algebra) library (shared lib, pthread)"},{"package":"libopenblas0-pthread","source":"openblas","version":"0.3.26+ds-1","name":"openblas","homepage":"https://www.openblas.net/","description":"Optimized BLAS (linear algebra) library (shared lib, pthread)"},{"package":"libstdc++6","source":"gcc","version":"14.2.0-4ubuntu2~24.04","name":"c++","homepage":"http://gcc.gnu.org/","description":"GNU Standard C++ Library v3"},{"package":"libgomp1","source":"gcc","version":"14.2.0-4ubuntu2~24.04","name":"openmp","homepage":"http://gcc.gnu.org/","description":"GCC OpenMP (GOMP) support library"}],"_score":1.9590413923210934,"_indexed":false,"_nocasepkg":"randomfieldsutils","_universes":["spatstat"],"_binaries":[]}
{"Package":"RandomFields","Version":"3.3.14","Title":"Simulation and Analysis of Random Fields","Author":"Martin Schlather [aut, cre], Alexander Malinowski [aut], Marco\nOesting [aut], Daphne Boecker [aut], Kirstin Strokorb [aut],\nSebastian Engelke [aut], Johannes Martini [aut], Felix Ballani\n[aut], Olga Moreva [aut], Jonas Auel[ctr], Peter Menck [ctr],\nSebastian Gross [ctr], Ulrike Ober [ctb], Paulo Ribeiro [ctb],\nBrian D. Ripley [ctb], Richard Singleton [ctb], Ben Pfaff\n[ctb], R Core Team [ctb]","Maintainer":"Martin Schlather <schlather@math.uni-mannheim.de>","Description":"Methods for the inference on and the simulation of\nGaussian fields are provided. Furthermore, methods for the\nsimulation of extreme value random fields are provided. Main\ngeostatistical parts are based among others on the books by\nChristian Lantuejoul <doi:10.1007/978-3-662-04808-5>.","Collate":"aaa_auto.R aaa_globals.R basic.fctns.R bigdata.R Class.R\nconvert_new.R convert.R Crossvalidation.R datasets.R D.H.R\nfitbernoulli.R fitbr.R fitgauss.R fitmaxstable.R fitpoisson.R\ngetNset.R helmholz.R internal_use.R kriging.R Likelihoodratio.R\nMethods-aux.R Methods-RFsp.R obsolete.R\nRFempvario-Methods-plots.R RFempvario.R RFfit.R RFgui.R\nrf-plots.R rf.R RMmodels-Methods-plots.R RMmodelsBasics.R\nRMmodels.R RMmodelsConvenience.R RMmodelsSpecial.R RQmodels.R\ngeneratemodels.R zzz.R","License":"GPL (>= 3)","URL":"https://www.wim.uni-mannheim.de/schlather/publications/software","Packaged":{"Date":"2025-01-04 06:42:23 UTC","User":"root"},"NeedsCompilation":"yes","Date/Publication":"2022-01-18 19:12:52 UTC","Repository":"https://spatstat.r-universe.dev","RemoteUrl":"https://github.com/cran/RandomFields","RemoteRef":"HEAD","RemoteSha":"41d603eb8a5f4bfe82c56acee957c79e7500bfd4","MD5sum":"8cd591ffee827049a680b15911b439f8","_user":"spatstat","_type":"src","_file":"RandomFields_3.3.14.tar.gz","_fileid":"e1db66d354a55aec35e9ab77e8a996c30b1405cc89bdb423fc0ecaafbeca355a","_filesize":2671295,"_sha256":"e1db66d354a55aec35e9ab77e8a996c30b1405cc89bdb423fc0ecaafbeca355a","_created":"2025-01-04T06:42:23.000Z","_published":"2025-01-05T02:46:53.455Z","_upstream":"https://github.com/cran/RandomFields","_commit":{"id":"41d603eb8a5f4bfe82c56acee957c79e7500bfd4","author":"Martin Schlather <schlather@math.uni-mannheim.de>","committer":"cran-robot <csardi.gabor+cran@gmail.com>","message":"version 3.3.14\n","time":1642529572},"_maintainer":{"name":"Martin Schlather","email":"schlather@math.uni-mannheim.de","login":"schlather","uuid":52738171},"_distro":"noble","_host":"GitHub-Actions","_status":"success","_pkgdocs":"skipped","_winbinary":"success","_macbinary":"success","_wasmbinary":"none","_linuxdevel":"none","_windevel":"none","_buildurl":"https://github.com/r-universe/spatstat/actions/runs/12608332870","_registered":true,"_dependencies":[{"package":"R","version":">= 3.5.0","role":"Depends"},{"package":"sp","role":"Depends"},{"package":"RandomFieldsUtils","version":">= 1.1","role":"Depends"},{"package":"RandomFieldsUtils","role":"LinkingTo"},{"package":"graphics","role":"Imports"},{"package":"methods","role":"Imports"},{"package":"grDevices","role":"Imports"},{"package":"stats","role":"Imports"},{"package":"utils","role":"Imports"},{"package":"colorspace","role":"Suggests"},{"package":"RColorBrewer","role":"Suggests"},{"package":"mvtnorm","role":"Suggests"},{"package":"raster","role":"Suggests"},{"package":"tcltk2","role":"Suggests"},{"package":"tcltk","role":"Suggests"},{"package":"tkrplot","role":"Suggests"},{"package":"spam","role":"Suggests"},{"package":"tools","role":"Suggests"},{"package":"minqa","role":"Suggests"},{"package":"soma","role":"Suggests"},{"package":"optimx","role":"Suggests"},{"package":"nloptr","role":"Suggests"},{"package":"pso","role":"Suggests"},{"package":"GenSA","role":"Suggests"}],"_owner":"cran","_selfowned":false,"_usedby":0,"_updates":[],"_tags":[],"_stars":7,"_contributions":{"schlather":38},"_userbio":{"uuid":8414375,"type":"organization","name":"The Spatstat Team"},"_downloads":{"count":1142,"source":"https://cranlogs.r-pkg.org/downloads/total/last-month/RandomFields"},"_mentions":7,"_searchresults":696,"_topics":["openblas","cpp","openmp"],"_assets":["extra/citation.cff","extra/citation.html","extra/citation.json","extra/citation.txt","extra/contents.json","extra/RandomFields.html","manual.pdf"],"_cranurl":false,"_releases":[{"version":"1.0.0","date":"2001-06-01"},{"version":"1.0.4","date":"2001-06-11"},{"version":"1.0.8","date":"2002-05-21"},{"version":"1.0.12","date":"2002-06-10"},{"version":"1.0.13","date":"2003-06-03"},{"version":"1.0.14","date":"2003-10-01"},{"version":"1.0.15","date":"2003-12-18"},{"version":"1.1.8","date":"2004-01-24"},{"version":"1.1.9","date":"2004-02-05"},{"version":"1.1.10","date":"2004-03-01"},{"version":"1.1.11","date":"2004-04-05"},{"version":"1.1.12","date":"2004-05-12"},{"version":"1.1.13","date":"2004-07-14"},{"version":"1.1.14","date":"2004-07-15"},{"version":"1.1.15","date":"2004-07-16"},{"version":"1.1.19","date":"2004-09-12"},{"version":"1.1.20","date":"2004-11-09"},{"version":"1.1.24","date":"2004-11-12"},{"version":"1.2.7","date":"2005-04-11"},{"version":"1.2.8","date":"2005-04-22"},{"version":"1.2.9","date":"2005-04-26"},{"version":"1.2.10","date":"2005-04-27"},{"version":"1.2.11","date":"2005-04-27"},{"version":"1.2.14","date":"2005-05-19"},{"version":"1.2.16","date":"2005-05-30"},{"version":"1.3.1","date":"2005-08-05"},{"version":"1.3.3","date":"2005-09-05"},{"version":"1.3.4","date":"2005-10-08"},{"version":"1.3.6","date":"2005-10-25"},{"version":"1.3.7","date":"2005-10-26"},{"version":"1.3.10","date":"2005-11-15"},{"version":"1.3.11","date":"2005-11-21"},{"version":"1.3.12","date":"2005-11-28"},{"version":"1.3.13","date":"2005-12-19"},{"version":"1.3.14","date":"2006-01-20"},{"version":"1.3.15","date":"2006-01-24"},{"version":"1.3.16","date":"2006-01-24"},{"version":"1.3.18","date":"2006-02-03"},{"version":"1.3.23","date":"2006-03-07"},{"version":"1.3.24","date":"2006-03-21"},{"version":"1.3.26","date":"2006-04-03"},{"version":"1.3.27","date":"2006-06-06"},{"version":"1.3.28","date":"2006-07-10"},{"version":"1.3.29","date":"2006-09-23"},{"version":"1.3.30","date":"2007-10-03"},{"version":"1.3.34","date":"2008-08-24"},{"version":"1.3.35","date":"2008-09-17"},{"version":"1.3.37","date":"2009-01-26"},{"version":"1.3.39","date":"2009-06-29"},{"version":"1.3.40","date":"2009-07-01"},{"version":"1.3.41","date":"2009-11-01"},{"version":"1.3.44","date":"2010-10-25"},{"version":"1.3.45","date":"2010-11-13"},{"version":"1.3.47","date":"2011-02-20"},{"version":"2.0.42","date":"2011-02-21"},{"version":"2.0.43","date":"2011-02-23"},{"version":"2.0.44","date":"2011-03-02"},{"version":"2.0.45","date":"2011-03-11"},{"version":"2.0.50","date":"2011-10-23"},{"version":"2.0.52","date":"2011-10-27"},{"version":"2.0.53","date":"2011-11-13"},{"version":"2.0.54","date":"2012-01-20"},{"version":"2.0.56","date":"2012-07-06"},{"version":"2.0.57","date":"2012-07-10"},{"version":"2.0.59","date":"2012-10-05"},{"version":"2.0.65","date":"2013-02-06"},{"version":"2.0.66","date":"2013-10-30"},{"version":"2.0.71","date":"2013-11-28"},{"version":"3.0.5","date":"2013-12-05"},{"version":"3.0.10","date":"2014-01-21"},{"version":"3.0.30","date":"2014-07-25"},{"version":"3.0.32","date":"2014-08-04"},{"version":"3.0.34","date":"2014-08-11"},{"version":"3.0.35","date":"2014-08-12"},{"version":"3.0.42","date":"2014-09-22"},{"version":"3.0.44","date":"2014-10-01"},{"version":"3.0.55","date":"2015-01-14"},{"version":"3.0.59","date":"2015-01-27"},{"version":"3.0.60","date":"2015-01-28"},{"version":"3.0.62","date":"2015-02-03"},{"version":"3.1.0","date":"2015-07-24"},{"version":"3.1.1","date":"2015-07-25"},{"version":"3.1.3","date":"2015-11-05"},{"version":"3.1.4","date":"2015-12-15"},{"version":"3.1.8","date":"2016-01-09"},{"version":"3.1.11","date":"2016-04-23"},{"version":"3.1.12","date":"2016-04-26"},{"version":"3.1.16","date":"2016-06-23"},{"version":"3.1.24","date":"2016-09-12"},{"version":"3.1.24.1","date":"2016-10-11"},{"version":"3.1.36","date":"2016-12-25"},{"version":"3.1.48","date":"2017-04-16"},{"version":"3.1.50","date":"2017-04-17"},{"version":"3.3","date":"2019-02-14"},{"version":"3.3.1","date":"2019-02-18"},{"version":"3.3.4","date":"2019-03-04"},{"version":"3.3.6","date":"2019-03-08"},{"version":"3.3.7","date":"2019-12-12"},{"version":"3.3.8","date":"2020-02-06"},{"version":"3.3.10","date":"2021-09-22"},{"version":"3.3.13","date":"2021-11-02"},{"version":"3.3.14","date":"2022-01-18"}],"_exports":["anova","atan2","cbrt","checkExamples","coerce","CondSimu","conventional2RFspDataFrame","Covariance","CovarianceFct","CovMatrix","DeleteAllRegisters","DeleteRegister","dimensions","DoSimulateRF","EmpiricalVariogram","erf","erfc","exp2","FinalizeExample","fitvario","fractal.dim","GaussRF","hurst","hypot","image","InitGaussRF","InitMaxStableRF","InitSimulateRF","Kriging","lines","maintainers.machine","max","MaxStableRF","min","persp","plot","plotWithCircles","points","PrintModelList","R.acos","R.acosh","R.asin","R.asinh","R.atan","R.atan2","R.atanh","R.c","R.cbrt","R.ceil","R.const","R.cos","R.cosh","R.div","R.erf","R.erfc","R.exp","R.exp2","R.expm1","R.fabs","R.fdim","R.floor","R.fmax","R.fmin","R.fmod","R.gamma","R.hypot","R.is","R.lat","R.lgamma","R.log","R.log1p","R.log2","R.lon","R.minus","R.mult","R.p","R.plus","R.pow","R.remainder","R.round","R.sin","R.sinh","R.sqrt","R.tan","R.tanh","R.trunc","RC_CARTESIAN_COORD","RC_DOMAIN_NAMES","RC_DOUBLEISOTROPIC","RC_EARTH_ISOTROPIC","RC_GNOMONIC_PROJ","RC_ISO_NAMES","RC_ISOTROPIC","RC_LIKELIHOOD_NAMES","RC_MONOTONE_NAMES","RC_NLOPTR_NAMES","RC_OPTIMISER_NAMES","RC_ORTHOGRAPHIC_PROJ","RC_TYPE_NAMES","RC_UNREDUCED","RFboxcox","RFcalc","RFcov","RFcovmatrix","RFcrossvalidate","RFddistr","RFdistr","RFearth2cartesian","RFearth2dist","RFempiricalcovariance","RFempiricalmadogram","RFempiricalvariogram","RFfctn","RFfit","RFformula","RFfractaldim","rfGenerateConstants","rfGenerateMaths","rfGenerateModels","rfGenerateTest","RFgetMethodNames","RFgetModel","RFgetModelInfo","RFgetModelInfo_model","RFgetModelInfo_register","RFgetModelNames","RFgridDataFrame","RFgui","RFhessian","RFhurst","RFinterpolate","RFlikelihood","RFlinearpart","RFmadogram","RFoldstyle","RFoptions","RFOPTIONS","RFpar","RFparameters","RFpdistr","RFplotEmpVariogram","RFplotModel","RFplotSimulation","RFplotSimulation1D","RFpointsDataFrame","RFpseudomadogram","RFpseudovariogram","RFqdistr","RFratiotest","RFrdistr","RFsimulate","RFspatialGridDataFrame","RFspatialPointsDataFrame","RFspDataFrame2conventional","RFspDataFrame2dataArray","RFvariogram","RM_COVARIATE","RM_DECLARE","RM_DEFAULT","RM_DISTR","RM_MULT","RM_NUGGET","RM_PLUS","RM_TREND","RM_USER","RMangle","RMaskey","RMave","RMball","RMbcw","RMbernoulli","RMbessel","RMbicauchy","RMbigneiting","RMbistable","RMbiwm","RMblend","RMbr2bg","RMbr2eg","RMbrownresnick","RMbubble","RMcardinalsine","RMcauchy","RMcauchytbm","RMchoquet","RMcircular","RMconstant","RMcov","RMCOV_X","RMcovariate","RMcoxisham","RMcubic","RMcurlfree","RMcutoff","RMdagum","RMdampedcos","RMdeclare","RMdelay","RMderiv","RMdewijsian","RMdivfree","RMeaxxa","RMepscauchy","RMetaxxa","RMexp","RMexponential","RMfbm","RMfixcov","RMflatpower","RMfractdiff","RMfractgauss","RMgauss","RMgencauchy","RMgenfbm","RMgengneiting","RMgennsst","RMgneiting","RMgneitingdiff","RMhandcock","RMhyperbolic","RMiaco","RMid","RMidmodel","RMintexp","RMintrinsic","RMkolmogorov","RMlgd","RMlsfbm","RMm2r","RMm3b","RMma","RMmastein","RMmatern","RMmatrix","RMmppplus","RMmps","RMmqam","RMmult","RMmultiquad","RMnatsc","RMnsst","RMnugget","RMparswm","RMparswmX","RMpenta","RMplus","RMpolygon","RMpolynome","RMpower","RMpoweredexp","RMprod","RMqam","RMqexp","RMrational","RMrotat","RMrotation","RMS","RMscale","RMschlather","RMschur","RMsign","RMsinepower","RMspheric","RMstable","RMstein","RMstp","RMsum","RMtbm","RMtent","RMtrafo","RMtrend","RMtruncsupport","RMuser","RMvector","RMwave","RMwendland","RMwhittle","RPaverage","RPbernoulli","RPbrmixed","RPbrorig","RPbrownresnick","RPbrshifted","RPchi2","RPcirculant","RPcoins","RPcutoff","RPdirect","RPgauss","RPhyperplane","RPintrinsic","RPloggaussnormed","RPnugget","RPopitz","RPpoisson","RPschlather","RPsequential","RPsmith","RPspecific","RPspectral","RPt","RPtbm","RPtrend","RRdeterm","RRdistr","RRgauss","RRloc","RRmcmc","RRrectangular","RRspheric","RRunif","ScreenDevice","show","sp2RF","StartExample","Variogram"],"_datasets":[{"name":"ca20.df","title":"Calcium content in soil samples","object":"ca20","file":"ca20.rda","class":["geodata.frame","data.frame"],"fields":["east","north","data","altitude","area"],"rows":178,"table":true,"tojson":true},{"name":"soil","title":"Soil data of North Bavaria, Germany","object":"soil","file":"soil.txt.gz","class":["data.frame"],"fields":["x.coord","y.coord","nr","moisture","NO3.N","Total.N","NH4.N","DOC","N20N"],"rows":201,"table":true,"tojson":true},{"name":"weather","title":"Pressure and temperature forecast errors over the Pacific Northwest","object":"weather","file":"weather.rda","class":["matrix","array"],"fields":["pressure","temperature","lon","lat"],"rows":157,"table":true,"tojson":true}],"_help":[{"page":"RandomFields","title":"Simulation and Analysis of Random Fields","topics":["RandomFields-package","RandomFields"]},{"page":"BRmethods","title":"Simulation methods for Brown-Resnick processes","topics":["BRmethods","RPbrmixed","RPbrorig","RPbrshifted","RPloggaussnormed"]},{"page":"RPbrownresnick","title":"Brown-Resnick process","topics":["Brown-Resnick","Brown-Resnick process","RPbrownresnick"]},{"page":"ca20","title":"Calcium content in soil samples","topics":["ca20","ca20.df"]},{"page":"Changings","title":"Documentation of some further changings","topics":["Changings","changings","coord_units","new_coord_units","tbmdim","variab_units"]},{"page":"RPcirculant","title":"Circulant Embedding methods","topics":["Circulant","Cutoff","Intrinsic","RPcirculant","RPcutoff","RPintrinsic"]},{"page":"RPcoin","title":"Random coin method","topics":["Average","Coins","RPaverage","RPcoins"]},{"page":"RC","title":"Constants used in RandomFields (RC constants)","topics":["constants","RC","RC_CARTESIAN_COORD","RC_DOMAIN_NAMES","RC_DOUBLEISOTROPIC","RC_EARTH_COORDS","RC_EARTH_ISOTROPIC","RC_GNOMONIC_PROJ","RC_ISOTROPIC","RC_ISO_NAMES","RC_LIKELIHOOD_NAMES","RC_MONOTONE_NAMES","RC_NLOPTR_NAMES","RC_OPTIMISER_NAMES","RC_ORTHOGRAPHIC_PROJ","RC_SPACEISOTROPIC","RC_SPHERICAL_COORDS","RC_TYPE_NAMES","RC_UNREDUCED"]},{"page":"conventional2RFspDataFrame","title":"Coercion to class 'RFsp' objects","topics":["conventional2RFspDataFrame"]},{"page":"CoordinateSystems","title":"Coordinate systems","topics":["coordinate system","Coordinate systems","coordinate systems","coordinates","zenit"]},{"page":"RR","title":"Distribution families (RR commands)","topics":["RR","RRmodel","RRmodels"]},{"page":"RPopitz","title":"Extremal t process","topics":["extremal t","extremal t process","RPopitz"]},{"page":"RPschlather","title":"Extremal Gaussian process","topics":["extremal Gaussian","extremal Gaussian process","RPschlather"]},{"page":"fitgauss","title":"Details on fitting Gaussian random fields, including Box-Cox transformation","topics":["fitgauss"]},{"page":"GaussianFields","title":"Methods for Gaussian Random Fields","topics":["Gaussian"]},{"page":"papers.GSPSJ06","title":"Fast and Exact Simulation of Large Gaussian Lattice Systems in R2","topics":["GSPSJ06"]},{"page":"Bayesian","title":"Bayesian Spatial Modelling","topics":["Bayesian","bayesian","Bayesian Modelling","Hierarchical","Hierarchical Modelling"]},{"page":"RPhyperplane","title":"Hyperplane method","topics":["Hyperplane","Hyperplanes","RPhyperplane"]},{"page":"RPnugget","title":"Method to simulate the Nugget effect","topics":["Nugget","RPnugget"]},{"page":"internal","title":"Internal functions","topics":["checkExamples","Dependencies","FinalizeExample","maintainers.machine","plotWithCircles","rfGenerateConstants","rfGenerateMaths","rfGenerateModels","rfGenerateTest","RM_DEFAULT","ScreenDevice","showManpages","StartExample"]},{"page":"papers.jss14","title":"Covariance models for multivariate and vector-valued fields","topics":["jss14"]},{"page":"MajorRevisions","title":"Documentation of major changings","topics":["MajorRevisions"]},{"page":"QMath","title":"Transformation of coordinate systems","topics":["%%","%%,ANY,RMmodel-method","%%,RMmodel,ANY-method","*,character,RMmodel-method","*,RMmodel,character-method","+,character,RMmodel-method","+,data.frame,RMmodel-method","+,factor,RMmodel-method","+,RMmodel,character-method","+,RMmodel,factor-method","+,RMmodel,list-method","-","-,character,RMmodel-method","-,RMmodel,character-method","/","/,character,RMmodel-method","/,RMmodel,character-method","abs","abs,RMmodel-method","acosh","acosh,RMmodel-method","asin","asin,RMmodel-method","asinh","asinh,RMmodel-method","atan","atan,RMmodel-method","atan2","atan2,ANY,RMmodel-method","atan2,RMmodel,ANY-method","atanh","atanh,RMmodel-method","c","cbrt","ceiling","ceiling,RMmodel-method","cos","cos,RMmodel-method","cosh","cosh,RMmodel-method","erf","erfc","exp","exp,RMmodel-method","exp2","expm1","expm1,RMmodel-method","floor","floor,RMmodel-method","gamma","hypot","lgamma","lgamma,RMmodel-method","log","log,RMmodel-method","log1p","log1p,RMmodel-method","log2","log2,RMmodel-method","math.c","max","min","R.","R.acos","R.acosh","R.asin","R.asinh","R.atan","R.atan2","R.atanh","R.c","R.cbrt","R.ceil","R.const","R.cos","R.cosh","R.div","R.erf","R.erfc","R.exp","R.exp2","R.expm1","R.fabs","R.fdim","R.floor","R.fmax","R.fmin","R.fmod","R.gamma","R.hypot","R.ilogb","R.is","R.lat","R.lgamma","R.log","R.log1p","R.log2","R.lon","R.minus","R.models","R.mult","R.nextafter","R.nexttoward","R.p","R.plus","R.pow","R.remainder","R.round","R.sin","R.sinh","R.sqrt","R.tan","R.tanh","R.trunc","RFcalc","round","round,RMmodel,missing-method","sin","sin,RMmodel-method","sinh","sinh,RMmodel-method","sqrt","sqrt,RMmodel-method","tan","tan,RMmodel-method","tanh","tanh,RMmodel-method","trunc","trunc,RMmodel-method","^","^,ANY,RMmodel-method","^,character,RMmodel-method","^,RMmodel,ANY-method","^,RMmodel,character-method"]},{"page":"RPmaxstable","title":"Simulation of Max-Stable Random Fields","topics":["Maxstable","maxstable","RPmaxstable"]},{"page":"RPmaxstableAdvanced","title":"Simulation examples of advanced Max-Stable Random Fields","topics":["maxstableAdvanced","RPmaxstableAdvanced"]},{"page":"obsolete2","title":"Obsolete functions Version 2","topics":["CondSimu","Covariance","CovarianceFct","CovMatrix","DeleteAllRegisters","DeleteRegister","DoSimulateRF","EmpiricalVariogram","fitvario","fractal.dim","GaussRF","hurst","InitGaussRF","InitMaxStableRF","InitSimulateRF","Kriging","MaxStableRF","RFparameters","Variogram"]},{"page":"obsolete3","title":"Obsolete functions Version 3","topics":["RFempiricalcovariance","RFempiricalmadogram","RFempiricalvariogram","RMstrokorbBall","RMstrokorbMono","RMstrokorbPoly"]},{"page":"RMmodelsAuxiliary","title":"Auxiliary and other Models","topics":["Auxiliary Models","Auxiliary RMmodels","AuxiliaryModels","Other models","RMmodelsAuxiliary"]},{"page":"papers","title":"Papers involving 'RandomFields' and co-authored by M. Schlather","topics":["papers"]},{"page":"plot-method","title":"Methods for function 'plot' in package 'RandomFields'","topics":["contour.RFspatialGridDataFrame","persp,RFspatialGridDataFrame-method","plot,RFgridDataFrame,data.frame-method","plot,RFgridDataFrame,matrix-method","plot,RFgridDataFrame,missing-method","plot,RFgridDataFrame,RFgridDataFrame-method","plot,RFgridDataFrame,RFpointsDataFrame-method","plot,RFpointsDataFrame,data.frame-method","plot,RFpointsDataFrame,matrix-method","plot,RFpointsDataFrame,missing-method","plot,RFpointsDataFrame,RFgridDataFrame-method","plot,RFpointsDataFrame,RFpointsDataFrame-method","plot,RFspatialGridDataFrame,data.frame-method","plot,RFspatialGridDataFrame,matrix-method","plot,RFspatialGridDataFrame,missing-method","plot,RFspatialGridDataFrame,RFspatialGridDataFrame-method","plot,RFspatialGridDataFrame,RFspatialPointsDataFrame-method","plot,RFspatialPointsDataFrame,data.frame-method","plot,RFspatialPointsDataFrame,matrix-method","plot,RFspatialPointsDataFrame,missing-method","plot,RFspatialPointsDataFrame,RFspatialGridDataFrame-method","plot,RFspatialPointsDataFrame,RFspatialPointsDataFrame-method","plot-method","RFplotSimulation","RFplotSimulation1D"]},{"page":"PrintModelList","title":"Information about the implemented covariance models","topics":["GetModelList","GetModelNames","PrintModelList"]},{"page":"RFboxcox","title":"Linear part of 'RMmodel'","topics":["RFboxcox"]},{"page":"RFcov","title":"(Cross-)Covariance function","topics":["RFcov"]},{"page":"RFcovmatrix","title":"Covariance matrix","topics":["RFcovmatrix"]},{"page":"RFcrossvalidate","title":"Fitting model parameters to spatial data (regionalised variables) and to linear (mixed) models","topics":["print.crossvalidate","print.summary.crossvalidate","RFcrossvalidate","RFcrossvalidate.default","summary.crossvalidate"]},{"page":"RFdistr","title":"Evaluating distribution families","topics":["RFddistr","RFdistr","RFpdistr","RFqdistr","RFrdistr"]},{"page":"RFempVariog-class","title":"Class 'RFempVariog'","topics":["coerce,RFempVariog,list-method","persp,RFempVariog-method","plot,RFempVariog,missing-method","print,RFempVariog-method","print.RF_empVariog","RFempVariog-class","RFplotEmpVariogram","show,RFempVariog-method","summary,RFempVariog-method","summary.RF_empVariog"]},{"page":"RFfctn","title":"Evaluate Covariance and Variogram Functions","topics":["RFfctn"]},{"page":"RFfit","title":"Fitting model parameters to spatial data (regionalised variables) and to linear (mixed) models","topics":["RFfit","RFfit.default"]},{"page":"RFfit-class","title":"Class 'RFfit'","topics":[".RFfit",".RF_fit","AIC,RFfit-method","AIC.RF_fit","AICc.RFfit","AICc.RF_fit","anova,RFfit-method","anova.RF_fit","BIC,RFfit-method","BIC.RF_fit","coerce,RFfit,RFempVariog-method","contour.RFempVariog","contour.RFfit","logLik.RFfit","logLik.RF_fit","persp,RFfit-method","plot,RFfit,missing-method","print,RFfit-method","print.RFfit","print.RF_fit","residuals,RFfit-method","RFfit-class","RFhessian","RF_fit-class","show,RFfit-method","summary,RFfit-method","summary,RFfit-methodt","summary.RF_fit","[,RFfit,ANY,ANY,ANY-method","[,RFfit,ANY,ANY-method","[,RFfit-method"]},{"page":"RFfitOptimiser","title":"Optimisers for fitting model parameters to spatial data","topics":["RFfitOptimiser","RFfitoptimiser"]},{"page":"RFformula","title":"RFformula - syntax to design random field models with trend or linear mixed models","topics":["RFformula","RMformula"]},{"page":"RFformulaAdvanced","title":"Advanced RFformula","topics":["RFformulaAdvanced"]},{"page":"RFfractaldim","title":"RFfractaldimension","topics":["RFfractaldim"]},{"page":"RF","title":"Evaluation operators (RF commands)","topics":["RF","RFfunction","RFfunctions","RFmodel","RFmodels"]},{"page":"RFgetMethodNames","title":"Simulation Techniques","topics":["RFgetMethodNames"]},{"page":"RFgetModel","title":"Internally stored model","topics":["RFgetModel"]},{"page":"RFgetModelInfo","title":"Information on RMmodels","topics":["RFgetModelInfo","RFgetModelInfo_model","RFgetModelInfo_register"]},{"page":"RFgetModelNames","title":"Names of implemented covariance and variogram models","topics":["RFgetModelNames"]},{"page":"RFgridDataFrame-class","title":"Class 'RFgridDataFrame'","topics":["as.array.RFgridDataFrame","as.data.frame.RFgridDataFrame","as.matrix.RFgridDataFrame","as.vector.RFgridDataFrame","cbind.RFgridDataFrame","coerce,RFgridDataFrame,RFpointsDataFrame,ANY-method","coerce,RFgridDataFrame,RFpointsDataFrame-method","dimensions,RFgridDataFrame-method","hist.RFgridDataFrame","print.RFgridDataFrame","range.RFgridDataFrame","RFgridDataFrame","RFgridDataFrame-class","RFspDataFrame2conventional,RFgridDataFrame-method","RFspDataFrame2dataArray,RFgridDataFrame-method","show,RFgridDataFrame-method","variance,RFgridDataFrame-method","[,RFgridDataFrame,ANY,ANY,ANY-method","[,RFgridDataFrame,ANY,ANY-method","[,RFgridDataFrame-method","[<-,RFgridDataFrame,ANY,ANY,ANY-method","[<-,RFgridDataFrame-method"]},{"page":"RFgui","title":"Graphical User Interface For Fitting Covariance Models And Variograms","topics":["RFgui"]},{"page":"RFhurst","title":"Hurst coefficient","topics":["RFhurst"]},{"page":"RFinterpolate","title":"Interpolation methods","topics":["kriging","RFinterpolate"]},{"page":"RFlinearpart","title":"Linear part of 'RMmodel'","topics":["RFlinearpart"]},{"page":"RFloglikelihood","title":"Likelihood and estimation of linear models","topics":["RFlikelihood","RFloglikelihood"]},{"page":"RFmadogram","title":"Empirical (Cross-)Madogram","topics":["RFmadogram"]},{"page":"RFoldstyle","title":"RFoldstyle","topics":["RFoldstyle"]},{"page":"RFoptions","title":"Setting control arguments","topics":["RFOPTIONS","RFoptions"]},{"page":"RFoptionsAdvanced","title":"Setting control arguments of 'RandomFields' - advanced examples","topics":["RFoptionsAdvanced"]},{"page":"RFpar","title":"Graphical parameters for plots","topics":["RFpar"]},{"page":"RFpointsDataFrame-class","title":"Class 'RFpointsDataFrame'","topics":["as.array.RFpointsDataFrame","as.data.frame.RFpointsDataFrame","as.matrix.RFpointsDataFrame","as.vector.RFpointsDataFrame","cbind.RFpointsDataFrame","coerce,RFpointsDataFrame,RFgridDataFrame,ANY-method","coerce,RFpointsDataFrame,RFgridDataFrame-method","dimensions,RFpointsDataFrame-method","hist.RFpointsDataFrame","print.RFpointsDataFrame","range.RFpointsDataFrame","RFpointsDataFrame","RFpointsDataFrame-class","RFspDataFrame2conventional,RFpointsDataFrame-method","show,RFpointsDataFrame-method","variance,RFpointsDataFrame-method","[,RFpointsDataFrame,ANY,ANY,ANY-method","[,RFpointsDataFrame,ANY,ANY-method","[,RFpointsDataFrame-method","[<-,RFpointsDataFrame,ANY,ANY,ANY-method","[<-,RFpointsDataFrame-method"]},{"page":"RFpseudomadogram","title":"Empirical Pseudomadogram","topics":["RFpseudomadogram"]},{"page":"RFpseudovariogram","title":"Pseudovariogram","topics":["RFpseudovariogram"]},{"page":"RFratiotest","title":"Likelihood ratio test","topics":["print.RFratiotest","RFratiotest"]},{"page":"RFsimulate","title":"Simulation of Random Fields","topics":["RFsimulate"]},{"page":"RFsimulate.more.examples","title":"Further Examples for the Simulation of Random Fields","topics":["RFsimulate.more.examples"]},{"page":"RFsimulate.sophisticated.examples","title":"Sophisticated Examples for the Simulation of Random Fields","topics":["RFsimulate.sophisticated.examples"]},{"page":"RFsimulateAdvanced","title":"Simulation of Random Fields - Advanced","topics":["RFsimulateAdvanced"]},{"page":"RFsp-class","title":"Class 'RFsp'","topics":["dimensions,RFdataFrame-method","dimensions,RFsp-method","dimensions,RFspatialDataFrame-method","RFdataFrame","RFdataFrame-class","RFsp-class","RFspatialDataFrame","RFspatialDataFrame-class","RFspDataFrame2conventional","RFspDataFrame2conventional,RFsp-method","RFspDataFrame2dataArray","RFspDataFrame2dataArray,RFsp-method","summary,RFsp-method","variance,RFsp-method","[,RFsp,ANY,ANY,ANY-method","[,RFsp,ANY,ANY-method","[,RFsp-method","[<-,RFsp,ANY,ANY,ANY-method","[<-,RFsp,ANY,ANY-method","[<-,RFsp-method"]},{"page":"RFspatialGridDataFrame-class","title":"Class \"RFspatialGridDataFrame\"","topics":["as.array.RFspatialGridDataFrame","as.data.frame.RFspatialGridDataFrame","as.matrix.RFspatialGridDataFrame","as.vector.RFspatialGridDataFrame","cbind.RFspatialGridDataFrame","coerce,RFspatialGridDataFrame,data.frame-method","coerce,RFspatialGridDataFrame,RFspatialPointsDataFrame,ANY-method","coerce,RFspatialGridDataFrame,RFspatialPointsDataFrame-method","coerce,SpatialGridDataFrame,RFspatialGridDataFrame-method","dimensions,RFspatialGridDataFrame-method","GridTopology2gridVectors,GridTopology-method","GridTopology2gridVectors,matrix-method","hist.RFspatialGridDataFrame","print.RFspatialGridDataFrame","range.RFspatialGridDataFrame","RFspatialGridDataFrame","RFspatialGridDataFrame-class","RFspDataFrame2conventional,RFspatialGridDataFrame-method","RFspDataFrame2dataArray,RFspatialGridDataFrame-method","show,RFspatialGridDataFrame-method","variance,RFspatialGridDataFrame-method","[,RFspatialGridDataFrame,ANY,ANY,ANY-method","[,RFspatialGridDataFrame,ANY,ANY-method","[,RFspatialGridDataFrame-method","[<-,RFspatialGridDataFrame,ANY,ANY,ANY-method","[<-,RFspatialGridDataFrame-method"]},{"page":"RFspatialPointsDataFrame-class","title":"Class \"RFspatialPointsDataFrame\"","topics":["as.array.RFspatialPointsDataFrame","as.data.frame.RFspatialPointsDataFrame","as.matrix.RFspatialPointsDataFrame","as.vector.RFspatialPointsDataFrame","cbind.RFspatialPointsDataFrame","coerce,RFspatialPointsDataFrame,data.frame-method","coerce,RFspatialPointsDataFrame,RFspatialGridDataFrame,ANY-method","coerce,RFspatialPointsDataFrame,RFspatialGridDataFrame-method","coerce,SpatialPointsDataFrame,RFspatialPointsDataFrame-method","dimensions,RFspatialPointsDataFrame-method","hist.RFspatialPointsDataFrame","print.RFspatialPointsDataFrame","range.RFspatialPointsDataFrame","RFspatialPointsDataFrame","RFspatialPointsDataFrame-class","RFspDataFrame2conventional,RFspatialPointsDataFrame-method","show,RFspatialPointsDataFrame-method","variance,RFspatialPointsDataFrame-method","[,RFspatialPointsDataFrame,ANY,ANY,ANY-method","[,RFspatialPointsDataFrame,ANY,ANY-method","[,RFspatialPointsDataFrame-method","[<-,RFspatialPointsDataFrame,ANY,ANY,ANY-method","[<-,RFspatialPointsDataFrame-method"]},{"page":"RFvariogram","title":"Empirical (Cross-)Variogram","topics":["RFvariogram"]},{"page":"RMangle","title":"Anisotropy matrix given by angle","topics":["RMangle"]},{"page":"RMaskey","title":"Askey model","topics":["RMaskey","RMtent","truncated power function"]},{"page":"RMave","title":"Space-time moving average model","topics":["RMave"]},{"page":"RMball","title":"RMball","topics":["RMball"]},{"page":"RMbcw","title":"Model bridging stationary and intrinsically stationary processes","topics":["RMbcw"]},{"page":"RMbernoulli","title":"Covariance Model for binary field based on a Gaussian field","topics":["RMbernoulli"]},{"page":"RMbessel","title":"Bessel Family Covariance Model","topics":["RMbessel","RMjbessel"]},{"page":"RMbicauchy","title":"Bivariate Cauchy Model","topics":["RMbicauchy"]},{"page":"RMbigneiting","title":"Gneiting-Wendland Covariance Models","topics":["RMbigneiting","RMbiwendland"]},{"page":"RMbistable","title":"Bivariate stable Model","topics":["RMbistable"]},{"page":"RMbiwm","title":"Full Bivariate Whittle Matern Model","topics":["RMbiwm"]},{"page":"RMblend","title":"Scale model for a few areas of different scales and/or differentiabilities","topics":["RMblend"]},{"page":"RMbr2bg","title":"Transformation from Brown-Resnick to Bernoulli","topics":["RMbr2bg"]},{"page":"RMbr2eg","title":"Transformation from Brown-Resnick to Gauss","topics":["RMbr2eg"]},{"page":"RMbrownresnick","title":"Tail correlation function of the Brown-Resnick process","topics":["error function model","powered error function","RMbrownresnick"]},{"page":"RMbubble","title":"Bubble model for arbitrary areas of scales","topics":["RMbubble"]},{"page":"RMcauchy","title":"Cauchy Family Covariance Model","topics":["RMcauchy"]},{"page":"RMcauchytbm","title":"Modifications of the Cauchy Family Covariance Model","topics":["RMcauchytbm"]},{"page":"RMchoquet","title":"Schoenberg's representation for the classes psi_d and psi_{Inf} in d=2","topics":["Choquet's representation","RMchoquet","Schoenberg's representation"]},{"page":"RMcircular","title":"Circular Covariance Model","topics":["RMcircular"]},{"page":"RMconstant","title":"Covariance Matrix Constant in Space","topics":["RMconstant"]},{"page":"RMcov","title":"Non-stationary covariance model corresponding to a variogram model","topics":["RMcov","RMCOV_X"]},{"page":"RMcovariate","title":"Model for covariates","topics":["RMcovariate","RM_COVARIATE"]},{"page":"RMcoxisham","title":"Cox Isham Covariance Model","topics":["RMcoxisham"]},{"page":"RMcubic","title":"Cubic Covariance Model","topics":["RMcubic"]},{"page":"RMcurlfree","title":"Curlfree Covariance Model","topics":["RMcurlfree"]},{"page":"RMcutoff","title":"Gneiting's modification towards finite range","topics":["RMcutoff"]},{"page":"RMdagum","title":"Dagum Covariance Model Family","topics":["RMdagum"]},{"page":"RMdampedcos","title":"Exponentially Damped Cosine","topics":["RMdampedcos"]},{"page":"RMdeclare","title":"Declaration of dummy variables for statistical inference","topics":["RMdeclare","RM_DECLARE"]},{"page":"RMdelay","title":"Bivariate Delay Effect","topics":["RMdelay"]},{"page":"RMderiv","title":"Gradient of a field","topics":["derivative","gradient","RMderiv"]},{"page":"RMdewijsian","title":"Modified De Wijsian Variogram Model","topics":["RMdewijsian"]},{"page":"RMdivfree","title":"Divfree Covariance Model","topics":["RMdivfree"]},{"page":"RMeaxxa","title":"Special models for rotation like fields","topics":["RMeaxxa","RMetaxxa"]},{"page":"RMepscauchy","title":"Generalized Cauchy Family Covariance Model","topics":["RMepscauchy"]},{"page":"RMexp","title":"Exponential Covariance Model","topics":["RMexp"]},{"page":"RMexponential","title":"Exponential operator","topics":["RMexponential"]},{"page":"RMfbm","title":"Variogram Model of Fractal Brownian Motion","topics":["RMfbm"]},{"page":"RMfix","title":"Fixed Covariance Matrix","topics":["RMfixcov"]},{"page":"RMfixed","title":"Fixed Effect Model","topics":["RMfixed"]},{"page":"RMoesting","title":"Variogram Model Similar to Fractal Brownian Motion","topics":["RMflatpower"]},{"page":"RMfractdiff","title":"Fractionally Differenced Process Model","topics":["RMfractdiff"]},{"page":"RMfractgauss","title":"Fractal Gaussian Model Family","topics":["RMfractgauss"]},{"page":"RMgauss","title":"Gaussian Covariance Model","topics":["RMgauss"]},{"page":"RMgencauchy","title":"Generalized Cauchy Family Covariance Model","topics":["RMgencauchy"]},{"page":"RMgenfbm","title":"Generalized Fractal Brownian Motion Variogram Model","topics":["RMgenfbm"]},{"page":"RMgengneiting","title":"Gneiting-Wendland Covariance Models","topics":["RMgengneiting","RMwendland"]},{"page":"RMgennsst","title":"Non-Separable Space-Time model","topics":["RMgennsst"]},{"page":"RMgneiting","title":"Gneiting Covariance Model","topics":["RMgneiting"]},{"page":"RMgneitingdiff","title":"Gneiting Covariance Model Used as Tapering Function","topics":["RMgneitingdiff"]},{"page":"RMhyperbolic","title":"Generalized Hyperbolic Covariance Model","topics":["RMhyperbolic"]},{"page":"RMiaco","title":"Iaco-Cesare model","topics":["RMiaco"]},{"page":"RMid","title":"Identical Model","topics":["RMid"]},{"page":"RMidmodel","title":"Identical Model","topics":["RMidmodel"]},{"page":"RMintern","title":"Internal models","topics":["RMintern","RMmixed","RMmult_inverse","RMnull","RMptsGivenShape","RMr3binner","RMselect","RMsetparam","RMshape.ave","RMshape.stp","RMSpower","RMstandardShape","RMstatShape","RO#","RO>","ROmissing","RPmppplus","RPmult","RPplus","RPS","RPtrend","RRarcsqrt","RRsetDistr"]},{"page":"RMintexp","title":"Integral exponential operator","topics":["RMintexp"]},{"page":"RMintrinsic","title":"Intrinsic Embedding Covariance Model","topics":["RMintrinsic"]},{"page":"RMkolmogorov","title":"Identical Model","topics":["RMkolmogorov"]},{"page":"RMlgd","title":"Local-Global Distinguisher Family Covariance Model","topics":["RMlgd"]},{"page":"RMlsfbm","title":"Locally Positive Definite Function Given by the Fractal Brownian Motion","topics":["RMlsfbm"]},{"page":"RMma","title":"Ma operator","topics":["RMma"]},{"page":"RMmastein","title":"Ma-Stein operator","topics":["RMmastein"]},{"page":"RMmatrix","title":"Matrix operator","topics":["coregionalisation","coregionalization","RMmatrix"]},{"page":"RMmodel","title":"Covariance and Variogram Models in 'RandomFields' (RM commands)","topics":["RMmodel","RMmodels","[,RMmodel,ANY,ANY-method","[<-,RMmodel,ANY,ANY-method"]},{"page":"RMmodel-class","title":"Class 'RMmodel'","topics":["*,logical,RMmodel-method","*,numeric,RMmodel-method","*,RMmodel,logical-method","*,RMmodel,numeric-method","*,RMmodel,RMmodel-method","+,logical,RMmodel-method","+,numeric,RMmodel-method","+,RMmodel,logical-method","+,RMmodel,numeric-method","+,RMmodel,RMmodel-method","-,logical,RMmodel-method","-,numeric,RMmodel-method","-,RMmodel,logical-method","-,RMmodel,numeric-method","-,RMmodel,RMmodel-method","/,logical,RMmodel-method","/,numeric,RMmodel-method","/,RMmodel,logical-method","/,RMmodel,numeric-method","/,RMmodel,RMmodel-method","c,RMmodel-method","image,RMmodel-method","lines,RMmodel-method","lines.RMmodel","persp,RMmodel-method","plot,RMmodel,missing-method","points,RMmodel-method","points.RMmodel","print.RMmodel","RFplotModel","RMmodel-class","show,RMmodel-method","str.RMmodel","[,RMmodel,ANY,ANY,ANY-method","[,RMmodel-method","[<-,RMmodel,ANY,ANY,ANY-method","[<-,RMmodel-method","^,logical,RMmodel-method","^,numeric,RMmodel-method","^,RMmodel,logical-method","^,RMmodel,numeric-method","^,RMmodel,RMmodel-method"]},{"page":"RMmodelExt-class","title":"Class CLASS_FIT","topics":["anova,RMmodelFit-method","anova.RM_modelFit","print,RMmodelFit-method","print.RMmodelFit","print.RM_modelFit","RMmodelFit-class","RM_modelFit-class","show,RMmodelFit-method","summary,RMmodelFit-method","summary.RM_modelFit","[,RMmodelFit,ANY,ANY,ANY-method","[,RMmodelFit,ANY,ANY-method","[,RMmodelFit-method","[<-,RMmodelFit,ANY,ANY,ANY-method","[<-,RMmodelFit,ANY,ANY-method","[<-,RMmodelFit-method"]},{"page":"RMmodelgenerator-class","title":"Class 'RMmodelgenerator'","topics":["print.RMmodelgenerator","RMmodelgenerator-class","show,RMmodelgenerator-method","[,RMmodelgenerator,ANY,ANY,ANY-method","[,RMmodelgenerator,ANY,ANY-method","[,RMmodelgenerator-method","[<-,RMmodelgenerator,ANY,ANY,ANY-method","[<-,RMmodelgenerator,ANY,ANY-method","[<-,RMmodelgenerator-method"]},{"page":"RM","title":"Overview over classes of 'RMmodels'","topics":["RM"]},{"page":"RMmodelsAdvanced","title":"Advanced features of the models","topics":["Advanced RMmodels","RMmodelsAdvanced"]},{"page":"RMmodelsMultivariate","title":"Multivariate models","topics":["Multivariate RMmodels","RMmodelsMultivariate"]},{"page":"RMmodelsNonstatationary","title":"Non-stationary features of the models","topics":["non-stationary","non-stationary RMmodels","Nonstationary RMmodels","RMmodelsNonstationary"]},{"page":"RMmodelsSpaceTime","title":"Space-time Covariance Models","topics":["RMmodelsSpaceTime","RMmodelsSpacetime","space-time"]},{"page":"RMmppplus","title":"Mixture of shape functions","topics":["++","RMmppplus"]},{"page":"RMmqam","title":"multivariate quasi-arithmetic mean","topics":["RMmqam"]},{"page":"RMmult","title":"Multiplication of Random Field Models","topics":["*","RMmult","RM_MULT"]},{"page":"RMmultiquad","title":"The Multiquadric Family Covariance Model on the Sphere","topics":["Inverse multiquadric","multiquadric family","Poisson spline","RMmultiquad"]},{"page":"RMnatsc","title":"Natural scale","topics":["RMnatsc"]},{"page":"RMnonstwm","title":"Non-stationary Whittle-Matern Covariance Model","topics":["RMnonstwm"]},{"page":"RMnsst","title":"Non-Separable Space-Time model","topics":["RMnsst"]},{"page":"RMnugget","title":"Nugget Effect Covariance Model","topics":["RMnugget","RM_NUGGET"]},{"page":"RMparswm","title":"Parsimonious Multivariate Whittle Matern Model","topics":["RMparswm","RMparswmX"]},{"page":"RMpenta","title":"Penta Covariance Model","topics":["RMpenta"]},{"page":"RMplus","title":"Addition of Random Field Models","topics":["+","RMplus","RM_PLUS"]},{"page":"RMpoissonpoly","title":"RMpolygon","topics":["RMpolygon"]},{"page":"RMpolynome","title":"Creating polynomial models","topics":["RMpolynome"]},{"page":"RMpower","title":"Power operator for Variograms and Covariance functions","topics":["RMpower"]},{"page":"RMprod","title":"Plain scalar product","topics":["RMprod"]},{"page":"RMqam","title":"Quasi-arithmetic mean","topics":["RMqam"]},{"page":"RMqexp","title":"Variant of the exponential model","topics":["RMqexp"]},{"page":"RMrational","title":"Rational function","topics":["RMrational"]},{"page":"RMrotat","title":"Rotation matrices","topics":["RMrotat","RMrotation"]},{"page":"RMS","title":"Scaling operator","topics":["RMS"]},{"page":"RMSadvanced","title":"Scaling operator - comments for advanced applications","topics":["RMSadvanced"]},{"page":"RMscale","title":"Scale model for arbitrary areas of scales","topics":["RMscale"]},{"page":"RMschlather","title":"Covariance Model for binary field based on Gaussian field","topics":["RMschlather"]},{"page":"RMschur","title":"Schur product","topics":["RMschur"]},{"page":"RMsign","title":"Random sign","topics":["RMsign","RRsign"]},{"page":"RMsinepower","title":"The Sinepower Covariance Model on the Sphere","topics":["RMsinepower","sine power function"]},{"page":"RMspheric","title":"The Spherical Covariance Model","topics":["RMspheric"]},{"page":"RMstable","title":"Stable Family / Powered Exponential Model","topics":["powered exponential","RMpoweredexp","RMpoweredexponential","RMstable"]},{"page":"RMstein","title":"Stein's non-separable space-time model","topics":["RMstein"]},{"page":"RMstp","title":"Single temporal process","topics":["RMstp"]},{"page":"RMsum","title":"Plain scalar product","topics":["RMsum"]},{"page":"RMtbm","title":"Turning Bands Method","topics":["RMtbm"]},{"page":"RMtrafo","title":"Transformation of coordinate systems","topics":["RFearth2cartesian","RFearth2dist","RMtrafo"]},{"page":"RMtrend","title":"Trend Model","topics":["RMtrend","RM_TREND","trend"]},{"page":"RMtruncsupport","title":"Truncating the Support of a Shape Function","topics":["RMtruncsupport"]},{"page":"RMuser","title":"User-Defined Function","topics":["RMuser","RM_USER"]},{"page":"RMvector","title":"Vector Covariance Model","topics":["RMvector"]},{"page":"RMwave","title":"Wave Covariance Model / Cardinal Sine","topics":["RMcardinalsine","RMwave"]},{"page":"RMmatern","title":"Whittle-Matern Covariance Model","topics":["RMhandcock","RMkbessel","RMmatern","RMwhittle","Sobolev","whittle-matern"]},{"page":"RPbernoulli","title":"Simulation of Binary Random Fields","topics":["RPbernoulli"]},{"page":"RPchi2","title":"Simulation of Chi2 Random Fields","topics":["RPchi2"]},{"page":"RPgauss","title":"Simulation of Gaussian Random Fields","topics":["RPgauss"]},{"page":"RPpoisson","title":"Simulation of Poisson Random Fields","topics":["RPpoisson"]},{"page":"RP","title":"Models for classes of random fields (RP commands)","topics":["RP","RPmodel","RPmodels","RPprocess","RPprocesses"]},{"page":"RPt","title":"Simulation of T Random Fields","topics":["RPt"]},{"page":"RRdeterm","title":"Degenerate Distributions","topics":["RRdeterm"]},{"page":"RRdistr","title":"Definition of Distribution Families","topics":["RM_DISTR","RRdistr"]},{"page":"RRgauss","title":"Vector Of Independent Gaussian Random Variables","topics":["RRgauss"]},{"page":"RRloc","title":"Location and Scale Modification of A Distribution","topics":["RRloc"]},{"page":"RRmcmc","title":"Random Sample From The Modulus Of A Function","topics":["RRmcmc"]},{"page":"RRrectangular","title":"Random scaling used with balls","topics":["RRrectangular"]},{"page":"RRspherical","title":"Random scaling used with balls","topics":["RRspheric"]},{"page":"RRunif","title":"Uniform Distribution in Higher Dimensions","topics":["RRunif"]},{"page":"papers.S02","title":"Models for stationary max-stable random fields","topics":["S02"]},{"page":"papers.S10","title":"On some covariance models based on normal scale mixtures","topics":["S10"]},{"page":"papers.SBS14","title":"Systematic co-occurrence of tail correlation functions among max-stable processes","topics":["SBS14"]},{"page":"RPsequential","title":"Methods relying on square roots of the covariance matrix","topics":["RPsequential","Sequential"]},{"page":"RPsmith","title":"(Mixed) Moving Maxima","topics":["M2","M3","mixed moving maxima","moving maxima","RPsmith"]},{"page":"soil","title":"Soil data of North Bavaria, Germany","topics":["soil"]},{"page":"sp2RF","title":"Transformation of an 'sp' object to an 'RFsp' object","topics":["sp2RF"]},{"page":"RPspecific","title":"Methods that are specific to certain covariance models","topics":["RPspecific","Specific"]},{"page":"RPspectral","title":"Spectral turning bands method","topics":["RPspectral","Spectral"]},{"page":"RMmodelsSphere","title":"Covariance models valid on a sphere","topics":["Earth models","earth models","RMmodelsSphere","sphere","Spherical models","spherical models"]},{"page":"RPdirect","title":"Methods relying on square roots of the covariance matrix","topics":["Direct","RPdirect"]},{"page":"papers.SS11","title":"Covariance Models for Random Vector Fields","topics":["SS12"]},{"page":"RMstrokorb","title":"Tail correlation function of the Brown-Resnick process","topics":["RMm2r","RMm3b","RMmps","RMstrokorb"]},{"page":"RMmodelsTailcorrelation","title":"Covariance models valid for max-stable random fields","topics":["RMmodelsTailCorrelation","Tail correlation functions","tail correlation functions","tcf"]},{"page":"RPtbm","title":"Turning Bands method","topics":["RPtbm","Tbm"]},{"page":"RMmodelsTrend","title":"Trend Modelling","topics":["RMmodelsTrend","trend modelling"]},{"page":"weather","title":"Pressure and temperature forecast errors over the Pacific Northwest","topics":["GKS11","weather"]}],"_rundeps":["lattice","RandomFieldsUtils","sp"],"_sysdeps":[{"package":"libopenblas0-pthread","source":"openblas","version":"0.3.26+ds-1","name":"openblas","homepage":"https://www.openblas.net/","description":"Optimized BLAS (linear algebra) library (shared lib, pthread)"},{"package":"libstdc++6","source":"gcc","version":"14.2.0-4ubuntu2~24.04","name":"c++","homepage":"http://gcc.gnu.org/","description":"GNU Standard C++ Library v3"},{"package":"libgomp1","source":"gcc","version":"14.2.0-4ubuntu2~24.04","name":"openmp","homepage":"http://gcc.gnu.org/","description":"GCC OpenMP (GOMP) support library"}],"_score":4.590471423548905,"_indexed":false,"_nocasepkg":"randomfields","_universes":["spatstat"],"_binaries":[]}