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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "spatstat.model" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'spatstat.model: Parametric Statistical Modelling and Inference for the ''spatstat''
  Family'
version: 3.3-1.002
identifiers:
- type: doi
  value: 10.32614/CRAN.package.spatstat.model
abstract: 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:
- family-names: Baddeley
  given-names: Adrian
  email: Adrian.Baddeley@curtin.edu.au
  orcid: https://orcid.org/0000-0001-9499-8382
- family-names: Turner
  given-names: Rolf
  email: rolfturner@posteo.net
  orcid: https://orcid.org/0000-0001-5521-5218
- family-names: Rubak
  given-names: Ege
  email: rubak@math.aau.dk
  orcid: https://orcid.org/0000-0002-6675-533X
preferred-citation:
  type: book
  title: 'Spatial Point Patterns: Methodology and Applications with R'
  authors:
  - family-names: Baddeley
    given-names: Adrian
    email: Adrian.Baddeley@curtin.edu.au
    orcid: https://orcid.org/0000-0001-9499-8382
  - family-names: Rubak
    given-names: Ege
    email: rubak@math.aau.dk
    orcid: https://orcid.org/0000-0002-6675-533X
  - family-names: Turner
    given-names: Rolf
    email: rolfturner@posteo.net
    orcid: https://orcid.org/0000-0001-5521-5218
  year: '2015'
  publisher:
    name: Chapman and Hall/CRC Press
    address: London
  isbn: '9781482210200'
  url: https://www.routledge.com/Spatial-Point-Patterns-Methodology-and-Applications-with-R/Baddeley-Rubak-Turner/p/book/9781482210200/
repository: https://spatstat.r-universe.dev
repository-code: https://github.com/spatstat/spatstat.model
commit: 192ca785540eccfaf71e8c66c444dbe2d12742b4
url: http://spatstat.org/
date-released: '2024-08-02'
contact:
- family-names: Baddeley
  given-names: Adrian
  email: Adrian.Baddeley@curtin.edu.au
  orcid: https://orcid.org/0000-0001-9499-8382
references:
- type: article
  title: Hybrids of Gibbs Point Process Models and Their Implementation
  authors:
  - family-names: Baddeley
    given-names: Adrian
  - family-names: Turner
    given-names: Rolf
  - family-names: Mateu
    given-names: Jorge
  - family-names: Bevan
    given-names: Andrew
  journal: Journal of Statistical Software
  year: '2013'
  volume: '55'
  issue: '11'
  doi: 10.18637/jss.v055.i11
  start: '1'
  end: '43'
- type: article
  title: 'spatstat: An R Package for Analyzing Spatial Point Patterns'
  authors:
  - family-names: Baddeley
    given-names: Adrian
  - family-names: Turner
    given-names: Rolf
  journal: Journal of Statistical Software
  year: '2005'
  volume: '12'
  issue: '6'
  doi: 10.18637/jss.v012.i06
  start: '1'
  end: '42'