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: 1.2
Depends: R (≥ 4.0.0), spatstat.core, spatstat.geom, spatstat (≥ 2.0-0)
Imports: methods, data.table, lattice, stats, plyr
Published: 2022-04-05
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


Reference manual: ppmlasso.pdf


Package source: ppmlasso_1.2.tar.gz
Windows binaries: r-devel: ppmlasso_1.2.zip, r-release: ppmlasso_1.2.zip, r-oldrel: ppmlasso_1.2.zip
macOS binaries: r-release (arm64): ppmlasso_1.2.tgz, r-oldrel (arm64): ppmlasso_1.2.tgz, r-release (x86_64): ppmlasso_1.2.tgz, r-oldrel (x86_64): ppmlasso_1.2.tgz
Old sources: ppmlasso archive


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