Package: spatstat.model 3.2-11.005

Adrian Baddeley

spatstat.model: Parametric Statistical Modelling and Inference for the 'spatstat' Family

Functionality for parametric statistical modelling and inference for spatial data, mainly spatial point patterns, in the 'spatstat' family of packages. (Excludes analysis of spatial data on a linear network, which is covered by the separate package 'spatstat.linnet'.) Supports parametric modelling, formal statistical inference, and model validation. Parametric models include Poisson point processes, Cox point processes, Neyman-Scott cluster processes, Gibbs point processes and determinantal point processes. Models can be fitted to data using maximum likelihood, maximum pseudolikelihood, maximum composite likelihood and the method of minimum contrast. Fitted models can be simulated and predicted. Formal inference includes hypothesis tests (quadrat counting tests, Cressie-Read tests, Clark-Evans test, Berman test, Diggle-Cressie-Loosmore-Ford test, scan test, studentised permutation test, segregation test, ANOVA tests of fitted models, adjusted composite likelihood ratio test, envelope tests, Dao-Genton test, balanced independent two-stage test), confidence intervals for parameters, and prediction intervals for point counts. Model validation techniques include leverage, influence, partial residuals, added variable plots, diagnostic plots, pseudoscore residual plots, model compensators and Q-Q plots.

Authors:Adrian Baddeley [aut, cre, cph], Rolf Turner [aut, cph], Ege Rubak [aut, cph], Kasper Klitgaard Berthelsen [ctb], Achmad Choiruddin [ctb, cph], Jean-Francois Coeurjolly [ctb], Ottmar Cronie [ctb], Tilman Davies [ctb], Julian Gilbey [ctb], Yongtao Guan [ctb], Ute Hahn [ctb], Martin Hazelton [ctb], Kassel Hingee [ctb], Abdollah Jalilian [ctb], Frederic Lavancier [ctb], Marie-Colette van Lieshout [ctb], Bethany Macdonald [ctb], Greg McSwiggan [ctb], Tuomas Rajala [ctb], Suman Rakshit [ctb, cph], Dominic Schuhmacher [ctb], Rasmus Plenge Waagepetersen [ctb], Hangsheng Wang [ctb]

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NEWS

# Install spatstat.model in R:
install.packages('spatstat.model', repos = c('https://spatstat.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/spatstat/spatstat.model/issues

On CRAN:

analysis-of-variancecluster-processconfidence-intervalscox-processdeterminantal-point-processesgibbs-processinfluenceleveragemodel-diagnosticsneyman-scottparameter-estimationpoisson-processspatial-analysisspatial-modellingspatial-point-processesstatistical-inference

709 exports 5 stars 5.20 score 17 dependencies 51 dependents 12.5k downloads

Last updated 5 days agofrom:d90cfae66fe9cb02d66c7d1f263f25d67d354362

Exports:[.influence.ppm[.leverage.ppm[.msraccumulateStatusactive.interactionsadaptcoefaddvaraffine.msrAIC.dppmAIC.kppmAIC.mppmAIC.ppmanova.mppmanova.ppmanova.slrmareadelta2AreaInteras.function.leverage.ppmas.fv.dppmas.fv.kppmas.fv.minconfitas.im.leverage.ppmas.interactas.interact.fiias.interact.interactas.interact.ppmas.interact.zgibbsmodelas.isfas.isf.zgibbsmodelas.layered.msras.owin.dppmas.owin.influence.ppmas.owin.kppmas.owin.leverage.ppmas.owin.msras.owin.ppmas.owin.slrmas.ppmas.ppm.dppmas.ppm.kppmas.ppm.ppmas.ppm.profileplas.ppm.rppmas.ppp.influence.ppmauc.kppmauc.ppmauc.slrmaugment.msrBadGeybcbc.ppmberman.test.ppmbigvalueruleblankcoefnamesbt.framecannot.updatecauchy.estKcauchy.estpcfcdf.test.mppmcdf.test.ppmcdf.test.slrmcheck.separableclosepaircountsclusterfield.kppmclusterfitclusterkernel.kppmclusterradius.kppmclusterradius.zclustermodelcoef.dppmcoef.fiicoef.kppmcoef.mppmcoef.ppmcoef.slrmcoef.summary.fiicoef.summary.kppmcoef.summary.ppmcoef.summary.slrmcoef.vblogitcoef<-.fiicompareFitConcomcondSimCoxcontour.leverage.ppmcontour.objsurfcrosspaircountsdamaged.ppmdata.mppmdata.ppmdeltasuffstatdetpointprocfamilyfundeviance.ppmdeviance.slrmdfbetas.ppmdfbetas.ppmInfluencedfbetas.slrmdffitdffit.ppmdffit.slrmdiagnose.ppmdiagnose.ppm.engineDiggleGatesStibbardDiggleGrattondim.detpointprocfamilydim.msrdimnames.msrdomain.dppmdomain.influence.ppmdomain.kppmdomain.leverage.ppmdomain.msrdomain.ppmdomain.slrmdoMultiStraussHarddppapproxkerneldppapproxpcfdppBesseldppCauchydppDpcfdppeigendppGaussdppkerneldppmdppMaterndppmFixAlgorithmdppmFixIntensitydppparboundsdppPowerExpDPPSaddleDPPSaddlePairwisedppspecdendppspecdenrangedummifydummy.ppmeemeem.ppmeem.slrmeffectfunemendemend.ppmemend.slrmenet.engineenvelope.kppmenvelope.ppmenvelope.slrmequalpairsevalInteractionevalInterEngineevalPairPotentialevalPairwiseTermexactMPLEstraussexpandDotextractAIC.dppmextractAIC.kppmextractAIC.mppmextractAIC.ppmextractAIC.slrmfakefiifamily.hackglmmPQLfamily.vblogitfiiFikselfill.coefsfindCovariatefitinfitin.ppmfitin.profileplfitted.dppmfitted.kppmfitted.mppmfitted.ppmfitted.rppmfitted.slrmfixef.mppmflipxy.msrforbid.logiformula.dppmformula.hackglmmPQLformula.kppmformula.ppmformula.slrmGcomgetCall.mppmgetdatanamegetglmdatagetglmdata.mppmgetglmdata.ppmgetglmdata.slrmgetglmfitgetglmfit.mppmgetglmfit.ppmgetglmfit.slrmgetglmsubsetgetglmsubset.mppmgetglmsubset.ppmgetglmsubset.slrmgetppmdatasubsetgetppmOriginalCovariatesGeyergeyercountsgeyerdelta2GLMpredictGreshackglmmPQLHardcorehardcoredisthardcoredist.fiihardcoredist.ppmharmonicharmonise.msrhas.offsethas.offset.termhasglmfithasglmfit.mppmhasglmfit.ppmhasglmfit.slrmhierarchicalorderingHierHardhiermathierpair.familyHierStraussHierStraussHardho.engineHybridhybrid.familyicic.kppmic.ppmillegal.iformulaimage.objsurfimpliedcoefficientsimpliedpresenceimprove.kppminfluence.ppminfluence.ppmInfluenceinfluence.slrminforder.familyinstantiate.interactintegral.influence.ppmintegral.leverage.ppmintegral.msrintensity.detpointprocfamilyintensity.dppmintensity.ppmintensity.slrmintensity.zclustermodelintensity.zgibbsmodelinteractionfamilynameinteractionorderinteractionorder.fiiinteractionorder.interactinteractionorder.isfinteractionorder.ppminteractionorder.zgibbsmodelintermakerippmis.dppmis.expandable.ppmis.hybridis.hybrid.interactis.hybrid.ppmis.interactis.kppmis.lppmis.marked.mppmis.marked.msris.marked.ppmis.marked.rppmis.marked.slrmis.mppmis.multitype.mppmis.multitype.msris.multitype.ppmis.multitype.rppmis.multitype.slrmis.poisson.interactis.poisson.kppmis.poisson.mppmis.poisson.ppmis.poisson.rppmis.poisson.slrmis.poisson.zgibbsmodelis.poissonclusterprocessis.poissonclusterprocess.defaultis.poissonclusterprocess.kppmis.poissonclusterprocess.zclustermodelis.ppmis.slrmis.stationary.detpointprocfamilyis.stationary.dppmis.stationary.kppmis.stationary.ppmis.stationary.slrmis.stationary.zgibbsmodelKcomkillinteractionKmodelKmodel.detpointprocfamilyKmodel.dppmKmodel.kppmKmodel.ppmKmodel.slrmKmodel.zclustermodelKpcf.kppmkppmkppm.formulakppm.pppkppm.quadkppmCLadapkppmComLikkppmMinConkppmPalmLikKreslabels.dppmlabels.kppmlabels.ppmlabels.slrmLambertWLennardJonesleverageleverage.ppmleverage.ppmInfluenceleverage.slrmlgcp.estKlgcp.estpcflines.objsurflines.trajlogi.enginelogLik.dppmlogLik.kppmlogLik.mppmlogLik.ppmlogLik.slrmlogLik.vblogitLurkEnginelurkinglurking.mppmlurking.ppmlurking.pppmake.pspacemapInterVarsmatclust.estKmatclust.estpcfMayermean.leverage.ppmmeasureContinuousmeasureDiscretemeasureNegativemeasurePositivemeasureVariationmeasureWeightedmincontrastmodel.covariatesmodel.dependsmodel.frame.dppmmodel.frame.kppmmodel.frame.ppmmodel.frame.slrmmodel.imagesmodel.images.dppmmodel.images.kppmmodel.images.ppmmodel.images.slrmmodel.is.additivemodel.matrix.dppmmodel.matrix.ippmmodel.matrix.kppmmodel.matrix.mppmmodel.matrix.ppmmodel.matrix.slrmmodel.se.imagemodelFrameGammpl.enginempl.get.covariatesmpl.preparempl.usablemppmmsrMultiHardMultiStraussMultiStraussHardnewformulanewstyle.coeff.handlingnndcumfunno.trend.ppmnobs.dppmnobs.k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Dependencies:abinddeldirgoftestlatticeMatrixmgcvnlmepolycliprpartspatstat.dataspatstat.explorespatstat.geomspatstat.randomspatstat.sparsespatstat.univarspatstat.utilstensor

Readme and manuals

Help Manual

Help pageTopics
The spatstat.model Packagespatstat.model-package spatstat.model
Added Variable Plot for Point Process Modeladdvar
ANOVA for Fitted Point Process Models for Replicated Patternsanova.mppm
ANOVA for Fitted Point Process Modelsanova.ppm
Analysis of Deviance for Spatial Logistic Regression Modelsanova.slrm
The Area Interaction Point Process ModelAreaInter
Convert Leverage Object to Function of Coordinatesas.function.leverage.ppm
Convert Fitted Model To Class fvas.fv.dppm as.fv.kppm as.fv.minconfit
Extract Interaction Structureas.interact as.interact.fii as.interact.interact as.interact.ppm
Convert Measure To Layered Objectas.layered.msr
Convert Data To Class owinas.owin.dppm as.owin.kppm as.owin.msr as.owin.ppm as.owin.slrm
Extract Fitted Point Process Modelas.ppm as.ppm.dppm as.ppm.kppm as.ppm.ppm as.ppm.profilepl as.ppm.rppm
Area Under ROC Curveauc.kppm auc.ppm auc.slrm
Hybrid Geyer Point Process ModelBadGey
Bias Correction for Fitted Modelbc bc.ppm
Berman's Tests for Point Process Modelberman.test.ppm
Fit the Neyman-Scott cluster process with Cauchy kernelcauchy.estK
Fit the Neyman-Scott cluster process with Cauchy kernelcauchy.estpcf
Spatial Distribution Test for Multiple Point Process Modelcdf.test.mppm
Spatial Distribution Test for Point Pattern or Point Process Modelcdf.test.ppm cdf.test.slrm
Count Close Pairs of Pointsclosepaircounts crosspaircounts
Field of clustersclusterfield.kppm
Fit Cluster or Cox Point Process Model via Minimum Contrastclusterfit
Extract Cluster Offspring Kernelclusterkernel.kppm
Compute or Extract Effective Range of Cluster Kernelclusterradius.kppm
Coefficients of Point Process Model Fitted to Multiple Point Patternscoef.mppm
Coefficients of Fitted Point Process Modelcoef.ppm
Coefficients of Fitted Spatial Logistic Regression Modelcoef.slrm
Residual Diagnostics for Multiple Fitted ModelscompareFit
The Connected Component Process ModelConcom
Extract Original Data from a Fitted Point Process Modeldata.ppm
Construct a New Determinantal Point Process Model Family Functiondetpointprocfamilyfun
Parameter Influence Measuredfbetas.ppm
Case Deletion Effect Measure of Fitted Modeldffit dffit.ppm
Diagnostic Plots for Fitted Point Process Modeldiagnose.ppm plot.diagppm
Diggle-Gates-Stibbard Point Process ModelDiggleGatesStibbard
Diggle-Gratton modelDiggleGratton
Dimension of Determinantal Point Process Modeldim.detpointprocfamily
Extract the Domain of any Spatial Objectdomain.dppm domain.kppm domain.msr domain.ppm domain.slrm
Approximate Determinantal Point Process Kerneldppapproxkernel
Approximate Pair Correlation Function of Determinantal Point Process Modeldppapproxpcf
Bessel Type Determinantal Point Process ModeldppBessel
Generalized Cauchy Determinantal Point Process ModeldppCauchy
Internal function calculating eig and indexdppeigen
Gaussian Determinantal Point Process ModeldppGauss
Extract Kernel from Determinantal Point Process Model Objectdppkernel
Fit Determinantal Point Process Modeldppm
Whittle-Matern Determinantal Point Process ModeldppMatern
Parameter Bound for a Determinantal Point Process Modeldppparbounds
Power Exponential Spectral Determinantal Point Process ModeldppPowerExp
Extract Spectral Density from Determinantal Point Process Model Objectdppspecden
Range of Spectral Density of a Determinantal Point Process Modeldppspecdenrange
Convert Data to Numeric Values by Constructing Dummy Variablesdummify
Extract Dummy Points Used to Fit a Point Process Modeldummy.ppm
Exponential Energy Markseem eem.ppm eem.slrm
Compute Fitted Effect of a Spatial Covariate in a Point Process Modeleffectfun
Force Model to be Validemend
Force Point Process Model to be Validemend.ppm project.ppm
Force Spatial Logistic Regression Model to be Validemend.slrm
Simulation Envelopes of Summary Functionenvelope.kppm envelope.ppm envelope.slrm
Exact Maximum Pseudolikelihood Estimate for Stationary Strauss ProcessexactMPLEstrauss
Extract Subset of Influence Object[.influence.ppm
Extract Subset of Leverage Object[.leverage.ppm
Extract Subset of Signed or Vector Measure[.msr
The Fiksel InteractionFiksel
Extract the Interaction from a Fitted Point Process Modelfitin fitin.ppm fitin.profilepl
Fitted Conditional Intensity for Multiple Point Process Modelfitted.mppm
Fitted Conditional Intensity for Point Process Modelfitted.ppm
Fitted Probabilities for Spatial Logistic Regressionfitted.slrm
Extract Fixed Effects from Point Process Modelfixef.mppm
Model Formulae for Gibbs Point Process Modelsformula.ppm terms.ppm
Model Compensator of Nearest Neighbour FunctionGcom
Geyer's Saturation Point Process ModelGeyer
Residual G FunctionGres
The Hard Core Point Process ModelHardcore
Extract the Hard Core Distance of a Point Process Modelhardcoredist hardcoredist.fii hardcoredist.ppm
Basis for Harmonic Functionsharmonic
Make Measures Compatibleharmonise.msr
The Hierarchical Hard Core Point Process ModelHierHard
Hierarchical Pairwise Interaction Process Familyhierpair.family
The Hierarchical Strauss Point Process ModelHierStrauss
The Hierarchical Strauss Hard Core Point Process ModelHierStraussHard
Hybrid Interaction Point Process ModelHybrid
Hybrid Interaction Familyhybrid.family
Model selection criteria for the intensity function of a point processic ic.kppm ic.ppm
Improve Intensity Estimate of Fitted Cluster Point Process Modelimprove.kppm
Influence Measure for Spatial Point Process Modelinfluence.ppm
Infinite Order Interaction Familyinforder.family
Integral of a Measureintegral.msr
Intensity of Determinantal Point Process Modelintensity.detpointprocfamily intensity.dppm
Intensity of Fitted Point Process Modelintensity.ppm
Intensity of Fitted Spatial Logistic Regression Modelintensity.slrm
Determine the Order of Interpoint Interaction in a Modelinteractionorder interactionorder.fii interactionorder.interact interactionorder.isf interactionorder.ppm
Fit Point Process Model Involving Irregular Trend Parametersippm
Recognise Fitted Determinantal Point Process Modelsis.dppm
Test Whether Object is a Hybridis.hybrid is.hybrid.interact is.hybrid.ppm
Test Whether A Point Process Model is Markedis.marked.ppm
Test Whether A Point Process Model is Multitypeis.multitype.ppm
Recognise Poisson Cluster Process Modelsis.poissonclusterprocess is.poissonclusterprocess.default is.poissonclusterprocess.kppm is.poissonclusterprocess.zclustermodel
Test Whether An Object Is A Fitted Point Process Modelis.kppm is.lppm is.ppm is.slrm
Recognise Stationary and Poisson Point Process Modelsis.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
Interaction Structure Family Objectsisf.object
Model Compensator of K FunctionKcom
K Function or Pair Correlation Function of a Point Process ModelKmodel pcfmodel
K-function or Pair Correlation Function of a Determinantal Point Process ModelKmodel.detpointprocfamily Kmodel.dppm pcfmodel.detpointprocfamily pcfmodel.dppm
K Function or Pair Correlation Function of Cluster Model or Cox modelKmodel.kppm pcfmodel.kppm
K Function or Pair Correlation Function of Gibbs Point Process modelKmodel.ppm pcfmodel.ppm
Fit Cluster or Cox Point Process Modelkppm kppm.formula kppm.ppp kppm.quad
Residual K FunctionKres
Lambert's W FunctionLambertW
The Lennard-Jones PotentialLennardJones
Leverage Measure for Spatial Point Process Modelleverage leverage.ppm
Leverage and Influence Diagnostics for Spatial Logistic Regressiondfbetas.slrm dffit.slrm influence.slrm leverage.slrm
Fit a Log-Gaussian Cox Point Process by Minimum Contrastlgcp.estK
Fit a Log-Gaussian Cox Point Process by Minimum Contrastlgcp.estpcf
Log Likelihood and AIC for Fitted Determinantal Point Process ModelAIC.dppm extractAIC.dppm logLik.dppm nobs.dppm
Log Likelihood and AIC for Fitted Cox or Cluster Point Process ModelAIC.kppm extractAIC.kppm logLik.kppm nobs.kppm
Log Likelihood and AIC for Multiple Point Process ModelAIC.mppm extractAIC.mppm getCall.mppm logLik.mppm nobs.mppm terms.mppm
Log Likelihood and AIC for Point Process ModelAIC.ppm deviance.ppm extractAIC.ppm logLik.ppm nobs.ppm
Loglikelihood of Spatial Logistic RegressionlogLik.slrm
Lurking Variable Plotlurking lurking.ppm lurking.ppp
Lurking Variable Plot for Multiple Point Patternslurking.mppm
Fit the Matern Cluster Point Process by Minimum Contrastmatclust.estK
Fit the Matern Cluster Point Process by Minimum Contrast Using Pair Correlationmatclust.estpcf
Discrete and Continuous Components of a MeasuremeasureContinuous measureDiscrete
Positive and Negative Parts, and Variation, of a MeasuremeasureNegative measurePositive measureVariation totalVariation
Weighted Version of a MeasuremeasureWeighted
Methods for Determinantal Point Process Modelscoef.dppm formula.dppm labels.dppm methods.dppm print.dppm terms.dppm
Methods for Fitted Interactionscoef.fii coef.summary.fii coef<-.fii methods.fii plot.fii print.fii print.summary.fii summary.fii
Methods for Influence Objectsas.owin.influence.ppm as.ppp.influence.ppm domain.influence.ppm integral.influence.ppm methods.influence.ppm Smooth.influence.ppm Window.influence.ppm
Methods for Cluster Point Process Modelscoef.kppm formula.kppm labels.kppm methods.kppm print.kppm terms.kppm
Methods for Leverage Objectsas.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
Methods for Objective Function Surfacescontour.objsurf image.objsurf methods.objsurf persp.objsurf plot.objsurf print.objsurf print.summary.objsurf summary.objsurf
Methods for Spatial Logistic Regression Modelsdeviance.slrm formula.slrm labels.slrm methods.slrm print.slrm summary.slrm terms.slrm update.slrm
Methods for Trajectories of Function Evaluationslines.traj methods.traj plot.traj print.traj
Methods for Cluster Modelsclusterradius.zclustermodel intensity.zclustermodel Kmodel.zclustermodel methods.zclustermodel pcfmodel.zclustermodel predict.zclustermodel print.zclustermodel reach.zclustermodel
Methods for Gibbs Modelsas.interact.zgibbsmodel as.isf.zgibbsmodel intensity.zgibbsmodel interactionorder.zgibbsmodel is.poisson.zgibbsmodel is.stationary.zgibbsmodel methods.zgibbsmodel print.zgibbsmodel
Method of Minimum Contrastmincontrast
Identify Covariates Involved in each Model Termhas.offset has.offset.term model.covariates model.depends model.is.additive
Extract the Variables in a Point Process Modelmodel.frame.dppm model.frame.kppm model.frame.ppm model.frame.slrm
Compute Images of Constructed Covariatesmodel.images model.images.dppm model.images.kppm model.images.ppm model.images.slrm
Extract Design Matrix of Point Process Model for Several Point Patternsmodel.matrix.mppm
Extract Design Matrix from Point Process Modelmodel.matrix.dppm model.matrix.ippm model.matrix.kppm model.matrix.ppm
Extract Design Matrix from Spatial Logistic Regression Modelmodel.matrix.slrm
Fit Point Process Model to Several Point Patternsmppm
Signed or Vector-Valued Measuremsr
The Multitype Hard Core Point Process ModelMultiHard
The Multitype Strauss Point Process ModelMultiStrauss
The Multitype/Hard Core Strauss Point Process ModelMultiStraussHard
Dummy Function Returns Number of Pointsnpfun
Objective Function Surfaceobjsurf objsurf.dppm objsurf.kppm objsurf.minconfit
Arithmetic Operations on MeasuresOps.msr
Generic Ord Interaction modelOrd
Ord Interaction Process Familyord.family
Ord's Interaction modelOrdThresh
The Piecewise Constant Pairwise Interaction Point Process ModelPairPiece
Saturated Pairwise Interaction Point Process Familypairsat.family
Generic Pairwise Interaction modelPairwise
Pairwise Interaction Process Familypairwise.family
Diagnostic based on Palm Intensitypalmdiagnose
Panel Plots using Colour Image or Contour Linespanel.contour panel.histogram panel.image
Probability that a Point Has Any Siblingspanysib
Extract Model Parameters in Understandable Formparameters parameters.dppm parameters.fii parameters.interact parameters.kppm parameters.ppm parameters.profilepl parameters.slrm
Partial Residuals for Point Process Modelparres
Penttinen InteractionPenttinen
Plot a fitted determinantal point processplot.dppm
Plot Influence Measureplot.influence.ppm
Plot a fitted cluster point processplot.kppm
Plot Leverage Functioncontour.leverage.ppm persp.leverage.ppm plot.leverage.ppm
plot a Fitted Multiple Point Process Modelplot.mppm
Plot a Signed or Vector-Valued Measureplot.msr
Plot the Palm Intensity Diagnosticplot.palmdiag
Plot a plotppm Object Created by plot.ppmplot.plotppm
plot a Fitted Point Process Modelplot.ppm
Plot Profile Likelihoodplot.profilepl
Plot a Recursively Partitioned Point Process Modelplot.rppm
Plot a Fitted Spatial Logistic Regressionplot.slrm
Poisson Point Process ModelPoisson
Polynomial in One or Two Variablespolynom
Fit Point Process Model to Datappm ppm.formula
Class of Fitted Point Process Modelsmethods.ppm ppm.object
Fit Point Process Model to Point Pattern Datappm.ppp ppm.quad
Leverage and Influence Measures for Spatial Point Process ModelppmInfluence
Prediction from a Fitted Determinantal Point Process Modelfitted.dppm predict.dppm
Prediction from a Fitted Cluster Point Process Modelfitted.kppm predict.kppm
Prediction for Fitted Multiple Point Process Modelpredict.mppm
Prediction from a Fitted Point Process Modelpredict.ppm
Make Predictions From a Recursively Partitioned Point Process Modelfitted.rppm predict.rppm
Predicted or Fitted Values from Spatial Logistic Regressionpredict.slrm
Print a Fitted Point Process Modelprint.ppm
Fit Models by Profile Maximum Pseudolikelihood or AICprofilepl
Prune a Recursively Partitioned Point Process Modelprune.rppm
Calculate Pseudo-R-Squared for Point Process ModelpseudoR2 pseudoR2.ppm pseudoR2.slrm
Sibling Probability of Cluster Point Processpsib psib.kppm
Pseudoscore Diagnostic For Fitted Model against General Alternativepsst
Pseudoscore Diagnostic For Fitted Model against Area-Interaction AlternativepsstA
Pseudoscore Diagnostic For Fitted Model against Saturation AlternativepsstG
Q-Q Plot of Residuals from Fitted Point Process Modelqqplot.ppm
Extract Quadrature Scheme Used to Fit a Point Process Modelquad.ppm
Chi-Squared Test for Multiple Point Process Model Based on Quadrat Countsquadrat.test.mppm
Dispersion Test for Spatial Point Pattern Based on Quadrat Countsquadrat.test.ppm quadrat.test.slrm
Extract Random Effects from Point Process Modelranef.mppm
Simulation of a Determinantal Point Processrdpp
Interaction Distance of a Point Process Modelreach.fii reach.interact reach.ppm
Range of Interaction for a Determinantal Point Process Modelreach.detpointprocfamily reach.dppm
Range of Interaction for a Cox or Cluster Point Process Modelreach.kppm
Parametric Estimate of Spatially-Varying Relative Riskrelrisk.ppm
Repulsiveness Index of a Determinantal Point Process Modelrepul repul.dppm
Residual Measure for an Observed Point Pattern and a Fitted IntensityresidualMeasure
Residuals for Fitted Determinantal Point Process Modelresiduals.dppm
Residuals for Fitted Cox or Cluster Point Process Modelresiduals.kppm
Residuals for Point Process Model Fitted to Multiple Point Patternsresiduals.mppm
Residuals for Fitted Point Process Modelresiduals.ppm
Residuals for Recursively Partitioned Point Process Modelresiduals.rppm
Residuals for Fitted Spatial Logistic Regression Modelresiduals.slrm
Extract the Values of the Response from a Fitted Modelresponse response.dppm response.glm response.kppm response.lm response.mppm response.ppm response.rppm response.slrm
Richardson Extrapolationrex
Nonparametric Estimate of Intensity as Function of a Covariaterhohat.ppm rhohat.slrm
Simulate from a Fitted Point Process Modelrmh.ppm
Interpret Fitted Model for Metropolis-Hastings Simulation.rmhmodel.ppm
Receiver Operating Characteristicroc.kppm roc.ppm roc.slrm
Recursively Partitioned Point Process Modelrppm
Piecewise Constant Saturated Pairwise Interaction Point Process ModelSatPiece
Saturated Pairwise Interaction modelSaturated
Simulation of Determinantal Point Process Modelsimulate.detpointprocfamily simulate.dppm
Simulate a Fitted Cluster Point Process Modelsimulate.kppm
Simulate a Point Process Model Fitted to Several Point Patternssimulate.mppm
Simulate a Fitted Gibbs Point Process Modelsimulate.ppm
Simulate a Fitted Spatial Logistic Regression Modelsimulate.slrm
Spatial Logistic Regressionslrm
Smooth a Signed or Vector-Valued MeasureSmooth.msr
The Soft Core Point Process ModelSoftcore
Divide a Measure into Partssplit.msr
The Strauss Point Process ModelStrauss
The Strauss / Hard Core Point Process ModelStraussHard
Extract List of Individual Point Process Modelssubfits subfits.new subfits.old
Sufficient Statistic of Point Process Modelsuffstat
Summarizing a Fitted Determinantal Point Process Modelprint.summary.dppm summary.dppm
Summarizing a Fitted Cox or Cluster Point Process Modelprint.summary.kppm summary.kppm
Summarizing a Fitted Point Process Modelprint.summary.ppm summary.ppm
Fit the Thomas Point Process by Minimum Contrastthomas.estK
Fit the Thomas Point Process by Minimum Contrastthomas.estpcf
Extract trajectory of function evaluationstraj
Triplet Interaction Familytriplet.family
The Triplet Point Process ModelTriplets
Name for Unit of Lengthunitname.dppm unitname.kppm unitname.minconfit unitname.ppm unitname.slrm unitname<-.dppm unitname<-.kppm unitname<-.minconfit unitname<-.ppm unitname<-.slrm
Separate a Vector Measure into its Scalar Componentsunstack.msr
Set Parameter Values in a Determinantal Point Process Modelupdate.detpointprocfamily
Update a Fitted Determinantal Point Process Modelupdate.dppm
Update an Interpoint Interactionupdate.interact
Update a Fitted Cluster Point Process Modelupdate.kppm
Update a Fitted Point Process Modelupdate.ppm
Update a Recursively Partitioned Point Process Modelupdate.rppm
Check Whether Point Process Model is Validvalid
Check Validity of a Determinantal Point Process Modelvalid.detpointprocfamily
Check Whether Point Process Model is Validvalid.ppm
Check Whether Spatial Logistic Regression Model is Validvalid.slrm
Predicted Variance of the Number of Pointsvarcount
Fit the Neyman-Scott Cluster Point Process with Variance Gamma kernelvargamma.estK
Fit the Neyman-Scott Cluster Point Process with Variance Gamma kernelvargamma.estpcf
Variance-Covariance Matrix for a Fitted Cluster Point Process Modelvcov.kppm
Calculate Variance-Covariance Matrix for Fitted Multiple Point Process Modelvcov.mppm
Variance-Covariance Matrix for a Fitted Point Process Modelvcov.ppm
Variance-Covariance Matrix for a Fitted Spatial Logistic Regressionvcov.slrm
Extract Window of Spatial ObjectWindow.dppm Window.kppm Window.msr Window.ppm Window.slrm
Evaluate Expression Involving Components of a Measurewith.msr
Cluster Point Process Modelzclustermodel
Gibbs Modelzgibbsmodel