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spatstat.local (version 4.1-5)

Extension to 'spatstat' for Local Composite Likelihood

Description

Extension to the 'spatstat' package, enabling the user to fit point process models to point pattern data by local composite likelihood ('geographically weighted regression').

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Version

Install

install.packages('spatstat.local')

Monthly Downloads

241

Version

4.1-5

License

GPL (>= 2)

Maintainer

Adrian Baddeley

Last Published

April 1st, 2022

Functions in spatstat.local (4.1-5)

locmincon

Locally Fitted Cluster or Cox Point Process Model

homtest

Homogeneity Test for Local Poisson or Gibbs Model

methods.locmincon

Methods for Local Cluster or Cox Models

locppm

Locally Fitted Poisson or Gibbs Point Process Model

Smooth.locppm

Smooth a locally fitted Gibbs model

homtestmap

Test Statistic for Homogeneity Test

Smooth.locmincon

Smooth a Locally Fitted Cluster or Cox Point Process Model

bw.loccit

Cross Validated Bandwidth Selection for Locally Fitted Point Process Model

loccit

Locally Fitted Cluster or Cox Point Process Model

bw.locppm

Cross Validated Bandwidth Selection for Locally Fitted Point Process Model

methods.locppm

Methods for Local Gibbs Models

plot.locppm

Plot a Locally Fitted Poisson or Gibbs Model

plot.locmincon

Plot a Locally Fitted Cluster or Cox Point Process Model

psib.loccit

Sibling Probability of Locally Fitted Cluster Point Process

spatstat.local-internal

Internal Functions of the spatstat.local Package

predict.locppm

Prediction of a Locally Fitted Poisson or Gibbs Point Process Model

predict.loccit

Prediction for Locally-Fitted Cox or Cluster Model

plot.loccit

Plot a Locally Fitted Cluster or Cox Point Process Model

with.locmincon

Evaluate an Expression for a Locally Fitted Model

ttestmap

Test of Effect in Locally Fitted Point Process Model

spatstat.local-package

Local Composite Likelihood