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spatstat.model
View on CRAN: Click
here
Download and install spatstat.model package within the R console
Install from CRAN:
install.packages("spatstat.model")
Install from Github:
library("remotes")
install_github("cran/spatstat.model")
Install by package version:
library("remotes")
install_version("spatstat.model", "3.3-4")
Attach the package and use:
library("spatstat.model")
Maintained by
Adrian Baddeley
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.spatstat.model . https://github.com/spatstat/spatstat.model/issues . spatstat.model citation info . spatstat.model results . spatstat.model.pdf . spatstat.model_3.3-5.tar.gz . spatstat.model_3.3-5.zip . spatstat.model_3.3-5.zip . spatstat.model_3.3-5.zip . spatstat.model_3.3-5.tgz . spatstat.model_3.3-5.tgz . spatstat.model_3.3-5.tgz . spatstat.model_3.3-5.tgz . spatstat.model_3.3-5.tgz . spatstat.model_3.3-5.tgz . spatstat.model archive . https://CRAN.R-project.org/package=spatstat.model .
First Published: 2022-11-07
Latest Update: 2023-05-15
Description:
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.
How to cite:
Adrian Baddeley (2022). spatstat.model: Parametric Statistical Modelling and Inference for the 'spatstat' Family. R package version 3.3-4, https://cran.r-project.org/web/packages/spatstat.model. Accessed 09 Apr. 2025.
Previous versions and publish date:
3.0-2 (2022-11-07 10:40), 3.1-2 (2023-01-26 10:30), 3.2-1 (2023-02-15 22:30), 3.2-3 (2023-04-21 14:40), 3.2-4 (2023-05-15 09:40), 3.2-6 (2023-09-07 09:20), 3.2-8 (2023-10-23 10:10), 3.2-10 (2024-02-02 10:40), 3.2-11 (2024-03-22 17:10), 3.3-1 (2024-07-15 21:10), 3.3-2 (2024-09-19 07:40), 3.3-3 (2024-11-19 10:40), 3.3-4 (2025-01-20 05:40)
Other packages that cited spatstat.model R package
View spatstat.model citation profile
Other R packages that spatstat.model depends,
imports, suggests or enhances
Complete documentation for spatstat.model
Functions, R codes and Examples using
the spatstat.model R package
Some associated functions: AreaInter . BadGey . Concom . DiggleGatesStibbard . DiggleGratton . Extract.influence.ppm . Extract.leverage.ppm . Extract.msr . Fiksel . Gcom . Geyer . Gres . Hardcore . HierHard . HierStrauss . HierStraussHard . Hybrid . Kcom . Kmodel.dppm . Kmodel.kppm . Kmodel . Kmodel.ppm . Kres . LambertW . LennardJones . MultiHard . MultiStrauss . MultiStraussHard . Ops.msr . Ord . OrdThresh . PairPiece . Pairwise . Penttinen . Poisson . SatPiece . Saturated . Smooth.msr . Softcore . Strauss . StraussHard . Triplets . Window.ppm . addvar . anova.mppm . anova.ppm . anova.slrm . as.function.leverage.ppm . as.fv.kppm . as.interact . as.layered.msr . as.owin.ppm . as.ppm . auc . bc.ppm . berman.test . cauchy.estK . cauchy.estpcf . cdf.test.mppm . cdf.test . closepaircounts . clusterfield.kppm . clusterfit . clusterkernel.kppm . clusterradius.kppm . coef.mppm . coef.ppm . coef.slrm . compareFit . data.ppm . detpointprocfamilyfun . dfbetas.ppm . dffit.ppm . diagnose.ppm . dim.detpointprocfamily . domain.ppm . dppBessel . dppCauchy . dppGauss . dppMatern . dppPowerExp . dppapproxkernel . dppapproxpcf . dppeigen . dppkernel . dppm . dppparbounds . dppspecden . dppspecdenrange . dummify . dummy.ppm . eem . effectfun . emend . emend.ppm . emend.slrm . envelope . exactMPLEstrauss . fitin . fitted.mppm . fitted.ppm . fitted.slrm . fixef.mppm . formula.ppm . hardcoredist . harmonic . harmonise.msr . hierpair.family . hybrid.family . ic.kppm . improve.kppm . influence.ppm . inforder.family . integral.msr . intensity.dppm . intensity.ppm . intensity.slrm . interactionorder . ippm . is.dppm . is.hybrid . is.marked.ppm . is.multitype.ppm . is.poissonclusterprocess . is.ppm . is.stationary.ppm . isfject . kppm . leverage.ppm . leverage.slrm . lgcp.estK . lgcp.estpcf . logLik.dppm . logLik.kppm . logLik.mppm . logLik.ppm . logLik.slrm . lurking.mppm . lurking . matclust.estK . matclust.estpcf . measureContinuous . measureVariation . measureWeighted . methods.dppm . methods.fii . methods.influence.ppm . methods.kppm . methods.leverage.ppm . methodsjsurf . methods.slrm . methods.traj . methods.zclustermodel . methods.zgibbsmodel . mincontrast . model.depends . model.frame.ppm . model.images . model.matrix.mppm . model.matrix.ppm . model.matrix.slrm . mppm . msr . npfun . objsurf . ord.family . pairsat.family . pairwise.family . palmdiagnose . panel.contour . panysib . parameters . parres . plot.dppm . plot.influence.ppm . plot.kppm . plot.leverage.ppm . plot.mppm . plot.msr . plot.palmdiag . plot.plotppm . plot.ppm . plot.profilepl . plot.rppm . plot.slrm . polynom . ppm . ppmject . ppm.ppp . ppmInfluence . predict.dppm . predict.kppm . predict.mppm . predict.ppm . predict.rppm . predict.slrm . print.ppm . profilepl . prune.rppm . pseudoR2 . psib . psst . psstA . psstG . qqplot.ppm . quad.ppm . quadrat.test.mppm . quadrat.test . ranef.mppm . rdpp . reach.dppm . reach.kppm . reach . relrisk.ppm . repul . residualMeasure . residuals.dppm . residuals.kppm . residuals.mppm . residuals.ppm . residuals.rppm . residuals.slrm . response . rex . rhohat . rmh.ppm . rmhmodel.ppm . roc . rppm . simulate.dppm . simulate.kppm . simulate.mppm . simulate.ppm . simulate.slrm . slrm . spatstat.model-internal . spatstat.model-package . split.msr . subfits . suffstat . summary.dppm . summary.kppm . summary.ppm . thomas.estK . thomas.estpcf . traj . triplet.family . unitname . unstack.msr . update.detpointprocfamily . update.dppm . update.interact . update.kppm . update.ppm . update.rppm . valid.detpointprocfamily . valid . valid.ppm . valid.slrm . varcount . vargamma.estK . vargamma.estpcf . vcov.kppm . vcov.mppm . vcov.ppm . vcov.slrm . with.msr . zclustermodel . zgibbsmodel .
Some associated R codes: First.R . Gcom.R . Gres.R . Kcom.R . Kmodel.R . Kres.R . aaaa.R . addvar.R . anova.mppm.R . anova.ppm.R . areainter.R . auc.R . augment.msr.R . badgey.R . bc.R . bermantest.R . cdf.test.mppm.R . cdftest.R . clusterfunctions.R . compareFit.R . concom.R . detPPF-class.R . detpointprocfamilyfun.R . dffit.R . dg.R . dgs.R . diagnoseppm.R . dppm.R . dppmclass.R . dummify.R . eem.R . effectfun.R . enet.R . envelope.R . evidence.R . evidenceslrm.R . exactMPLEstrauss.R . fii.R . fiksel.R . fitted.mppm.R . fitted.ppm.R . getglmfit.R . geyer.R . hackglmm.R . hardcore.R . harmonic.R . hierarchy.R . hierhard.R . hierpair.family.R . hierstrauss.R . hierstrhard.R . ho.R . hybrid.R . hybrid.family.R . ic.kppm.R . inforder.family.R . intensity.ppm.R . interact.R . interactions.R . ippm.R . is.R . kppm.R . lennard.R . leverage.R . logistic.R . lurking.R . lurkmppm.R . makepspace.R . measures.R . mincontrast.R . model.depends.R . mpl.R . mppm.R . multihard.R . multistrauss.R . multistrhard.R . newformula.R . objsurf.R . ord.R . ord.family.R . ordthresh.R . pairpiece.R . pairsat.family.R . pairwise.R . pairwise.family.R . palmdiagnose.R . panysib.R . parameters.R . parres.R . penttinen.R . percy.R . plot.mppm.R . plot.plotppm.R . plot.ppm.R . poisson.R . poissonfitsbetter.R . polynom.R . ppm.R . ppmclass.R . ppmcovariates.R . predict.ppm.R . predictmppm.R . profilepl.R . psst.R . psstA.R . psstG.R . qqplotppm.R . quadratmtest.R . quadrattest.R . reach.R . reduceformula.R . relrisk.ppm.R . resid4plot.R . residppm.R . residuals.mppm.R . response.R . rhohat.R . rhohat.slrm.R . rmh.ppm.R . rmhmodel.ppm.R . rppm.R . satpiece.R . saturated.R . simulate.detPPF.R . simulatekppm.R . slrm.R . softcore.R . strauss.R . strausshard.R . subfits.R . suffstat.R . summary.dppm.R . summary.kppm.R . summary.mppm.R . summary.ppm.R . traj.R . triplet.family.R . triplets.R . update.ppm.R . varcount.R . vblogistic.R . vcov.kppm.R . vcov.mppm.R . vcov.ppm.R . zclustermodel.R . zgibbsmodel.R . Full spatstat.model package functions and examples
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