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Computes the degrees of freedom of the lasso, elastic net, generalized elastic net and adaptive lasso based on the generalized path seeking algorithm. The optimal model can be selected by model selection criteria including Mallows' Cp, bias-corrected AIC (AICc), generalized cross validation (GCV) and BIC.
Version: | 1.3.5 |
Published: | 2022-10-20 |
DOI: | 10.32614/CRAN.package.msgps |
Author: | Kei Hirose |
Maintainer: | Kei Hirose <mail at keihirose.com> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: | https://keihirose.com/ |
NeedsCompilation: | yes |
CRAN checks: | msgps results |
Reference manual: | msgps.pdf |
Package source: | msgps_1.3.5.tar.gz |
Windows binaries: | r-devel: msgps_1.3.5.zip, r-release: msgps_1.3.5.zip, r-oldrel: msgps_1.3.5.zip |
macOS binaries: | r-release (arm64): msgps_1.3.5.tgz, r-oldrel (arm64): msgps_1.3.5.tgz, r-release (x86_64): msgps_1.3.5.tgz, r-oldrel (x86_64): msgps_1.3.5.tgz |
Old sources: | msgps archive |
Reverse imports: | DREGAR, PhenStat, SelectBoost |
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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.