The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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 |
Please use the canonical form https://CRAN.R-project.org/package=msgps 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.
Health stats visible at Monitor.