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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.

Version: 1.4
Depends: R (≥ 4.0.0), spatstat (≥ 3.0-0)
Imports: methods, data.table, lattice, stats, plyr, spatstat.explore, spatstat.model, spatstat.geom
Published: 2024-01-31
DOI: 10.32614/CRAN.package.ppmlasso
Author: Ian Renner
Maintainer: Ian Renner <Ian.Renner at newcastle.edu.au>
License: GPL-3
NeedsCompilation: no
Citation: ppmlasso citation info
Materials: NEWS
CRAN checks: ppmlasso results

Documentation:

Reference manual: ppmlasso.pdf

Downloads:

Package source: ppmlasso_1.4.tar.gz
Windows binaries: r-devel: ppmlasso_1.4.zip, r-release: ppmlasso_1.4.zip, r-oldrel: ppmlasso_1.4.zip
macOS binaries: r-release (arm64): ppmlasso_1.4.tgz, r-oldrel (arm64): ppmlasso_1.4.tgz, r-release (x86_64): ppmlasso_1.4.tgz, r-oldrel (x86_64): ppmlasso_1.4.tgz
Old sources: ppmlasso archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ppmlasso to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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