Package: msgps 1.3.5

msgps: Degrees of Freedom of Elastic Net, Adaptive Lasso and Generalized Elastic Net

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.

Authors:Kei Hirose

msgps_1.3.5.tar.gz
msgps_1.3.5.zip(r-4.7-x86_64)msgps_1.3.5.zip(r-4.7-arm64)msgps_1.3.5.zip(r-4.6-x86_64)msgps_1.3.5.zip(r-4.6-arm64)msgps_1.3.5.zip(r-4.5-x86_64)
msgps_1.3.5.tgz(r-4.6-x86_64)msgps_1.3.5.tgz(r-4.6-arm64)msgps_1.3.5.tgz(r-4.5-x86_64)msgps_1.3.5.tgz(r-4.5-arm64)
msgps_1.3.5.tar.gz(r-4.7-arm64)msgps_1.3.5.tar.gz(r-4.7-x86_64)msgps_1.3.5.tar.gz(r-4.6-arm64)msgps_1.3.5.tar.gz(r-4.6-x86_64)
msgps_1.3.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
msgps/json (API)

# Install 'msgps' in R:
install.packages('msgps', repos = c('https://keihirose.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblas

2.18 score 5 packages 8 scripts 607 downloads 1 mentions 13 exports 0 dependencies

Last updated from:5f96b42596. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK103
linux-devel-x86_64OK123
source / vignettesOK174
linux-release-arm64OK102
linux-release-x86_64OK120
macos-release-arm64OK88
macos-release-x86_64OK123
macos-oldrel-arm64OK96
macos-oldrel-x86_64OK193
windows-devel-arm64OK157
windows-devel-x86_64OK98
windows-release-arm64OK182
windows-release-x86_64OK59
windows-oldrel-x86_64OK57
wasm-releaseOK101

Exports:aicc.dfgpsbic.dfgpscoef.dfgpscoef.msgpscoefmat.dfgpscp.dfgpsdfgpsgcv.dfgpsmsgpsplot.msgpspredict.msgpsprint.msgpssummary.msgps

Dependencies:

Readme and manuals

Help Manual

Help pageTopics
msgps (Degrees of Freedom of Elastic Net, Adaptive Lasso and Generalized Elastic Net)aicc.dfgps bic.dfgps cp.dfgps dfgps gcv.dfgps msgps print.msgps
plot the solution path from a "msgps" object.plot.df plot.msgps
make predictions from a "msgps" object.coef.dfgps coef.msgps coef.step.dfgps coefmat.dfgps predict.msgps
A summary of "msgps" object..summary.msgps