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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 |
| Reference manual: | ppmlasso.pdf |
| 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 |
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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.