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spatstat.local (version 5.1-0)

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

5.1-0

License

GPL (>= 2)

Maintainer

Adrian Baddeley

Last Published

July 19th, 2024

Functions in spatstat.local (5.1-0)

ttestmap

Test of Effect in Locally Fitted Point Process Model
plot.locppm

Plot a Locally Fitted Poisson or Gibbs Model
predict.loccit

Prediction for Locally-Fitted Cox or Cluster Model
spatstat.local-package

Local Composite Likelihood
plot.loccit

Plot a Locally Fitted Cluster or Cox Point Process Model
plot.locmincon

Plot a Locally Fitted Cluster or Cox Point Process Model
methods.locppm

Methods for Local Gibbs Models
spatstat.local-internal

Internal Functions of the spatstat.local Package
psib.loccit

Sibling Probability of Locally Fitted Cluster Point Process
predict.locppm

Prediction of a Locally Fitted Poisson or Gibbs Point Process Model
with.locmincon

Evaluate an Expression for a Locally Fitted Model
loccit

Locally Fitted Cluster or Cox Point Process Model
Smooth.locppm

Smooth a locally fitted Gibbs model
bw.locppm

Cross Validated Bandwidth Selection for Locally Fitted Point Process Model
methods.locmincon

Methods for Local Cluster or Cox Models
Smooth.locmincon

Smooth a Locally Fitted Cluster or Cox Point Process Model
locppm

Locally Fitted Poisson or Gibbs Point Process Model
bw.loccit

Cross Validated Bandwidth Selection for Locally Fitted Point Process Model
locmincon

Locally Fitted Cluster or Cox Point Process Model
homtest

Homogeneity Test for Local Poisson or Gibbs Model
homtestmap

Test Statistic for Homogeneity Test