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:
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')) |
- BlueMountains - Blue Mountains eucalypt and environmental data.
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:c9ba299246. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 145 | ||
| source / vignettes | OK | 173 | ||
| linux-release | OK | 140 | ||
| macos-release | OK | 202 | ||
| macos-oldrel | OK | 190 | ||
| windows-devel | OK | 110 | ||
| windows-release | OK | 105 | ||
| windows-oldrel | OK | 122 | ||
| wasm-release | OK | 88 |
Exports:diagnosediagnose.ppmlassoenvelope.ppmlassofindResgetEnvVargriddifyplotFitplotPathpointInteractionsppmdatppmlassopredict.ppmlassoprint.ppmlassosampleQuad
Dependencies:abinddata.tabledeldirgoftestlatticeMatrixmgcvnlmeplyrpolyclipRcpprpartspatstatspatstat.dataspatstat.explorespatstat.geomspatstat.linnetspatstat.modelspatstat.randomspatstat.sparsespatstat.univarspatstat.utilstensor