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ppmlasso (version 1.5)

Point Process Models with LASSO-Type Penalties

Description

Toolkit for fitting point process models with sequences of LASSO penalties ("regularisation paths"), as described in Renner, I.W. and Warton, D.I. (2013) . Regularisation paths of Poisson point process models or area-interaction models can be fitted with LASSO, adaptive LASSO or elastic net penalties. A number of criteria are available to judge the bias-variance tradeoff.

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Version

Install

install.packages('ppmlasso')

Monthly Downloads

297

Version

1.5

License

GPL-3

Maintainer

Ian Renner

Last Published

October 11th, 2025

Functions in ppmlasso (1.5)

diagnose.ppmlasso

Create diagnostic plots for a fitted point process model.
envelope.ppmlasso

Calculates simulation envelopes for goodness-of-fit
findRes

Choose spatial resolution for analysis
envelope-methods

Methods for function envelope
pointInteractions

Calculate point interactions for area-interaction models
print-methods

Methods for function print
diagnose-methods

Methods for function diagnose
griddify

Ensure that a geo-referenced matrix of environmental grids is rectangular
ppmlasso-internal

Internal ppmlasso functions
ppmlasso-class

Class "ppmlasso"
print.ppmlasso

Print a fitted regularisation path
plotFit

Plot the predicted intensity of a fitted ppmlasso model
plotPath

Plot of the regularisation path of a ppmlasso model
getEnvVar

Extract environmental data to presence locations
ppmdat

Prepare data for model fitting
ppmlasso-package

PPM-LASSO: Point process models with LASSO-type penalties
ppmlasso

Fit point process models with LASSO penalties
predict-methods

Methods for function predict
sampleQuad

Generate regular grid of quadrature points with environmental data
predict.ppmlasso

Prediction to new data from a fitted regularisation path
BlueMountains

Blue Mountains eucalypt and environmental data.