Package: ppmlasso 1.5

ppmlasso: Point Process Models with LASSO-Type Penalties

Toolkit for fitting point process models with sequences of LASSO penalties ("regularisation paths"), as described in Renner, I.W. and Warton, D.I. (2013) <doi:10.1111/j.1541-0420.2012.01824.x>. 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.

Authors:Ian Renner [aut, cre]

ppmlasso_1.5.tar.gz
ppmlasso_1.5.zip(r-4.7-any)ppmlasso_1.5.zip(r-4.6-any)ppmlasso_1.5.zip(r-4.5-any)
ppmlasso_1.5.tgz(r-4.6-any)ppmlasso_1.5.tgz(r-4.5-any)
ppmlasso_1.5.tar.gz(r-4.7-any)ppmlasso_1.5.tar.gz(r-4.6-any)
ppmlasso_1.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
ppmlasso/json (API)

# Install 'ppmlasso' in R:
install.packages('ppmlasso', repos = c('https://iwrenner.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.45 score 2 stars 14 scripts 335 downloads 14 exports 23 dependencies

Last updated from:c9ba299246. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK145
source / vignettesOK173
linux-releaseOK140
macos-releaseOK202
macos-oldrelOK190
windows-develOK110
windows-releaseOK105
windows-oldrelOK122
wasm-releaseOK88

Exports:diagnosediagnose.ppmlassoenvelope.ppmlassofindResgetEnvVargriddifyplotFitplotPathpointInteractionsppmdatppmlassopredict.ppmlassoprint.ppmlassosampleQuad

Dependencies:abinddata.tabledeldirgoftestlatticeMatrixmgcvnlmeplyrpolyclipRcpprpartspatstatspatstat.dataspatstat.explorespatstat.geomspatstat.linnetspatstat.modelspatstat.randomspatstat.sparsespatstat.univarspatstat.utilstensor