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:
msgps_1.3.5.tar.gz
msgps_1.3.5.tar.gz(r-4.5-noble)msgps_1.3.5.tar.gz(r-4.4-noble)
msgps_1.3.5.tgz(r-4.4-emscripten)msgps_1.3.5.tgz(r-4.3-emscripten)
msgps.pdf |msgps.html✨
msgps/json (API)
# Install 'msgps' in R: |
install.packages('msgps', repos = 'https://cloud.r-project.org') |
Conda:r-msgps-1.3.5(2025-03-25)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:5f96b42596. Checks:3 OK. Indexed: no.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Mar 31 2025 |
R-4.5-linux-x86_64 | OK | Mar 31 2025 |
R-4.4-linux-x86_64 | OK | Mar 31 2025 |
Exports:aicc.dfgpsbic.dfgpscoef.dfgpscoef.msgpscoefmat.dfgpscp.dfgpsdfgpsgcv.dfgpsmsgpsplot.msgpspredict.msgpsprint.msgpssummary.msgps
Dependencies:
Citation
To cite package ‘msgps’ in publications use:
Hirose K (2022). msgps: Degrees of Freedom of Elastic Net, Adaptive Lasso and Generalized Elastic Net. R package version 1.3.5, https://CRAN.R-project.org/package=msgps.
ATTENTION: This citation information has been auto-generated from the package DESCRIPTION file and may need manual editing, see ‘help("citation")’.
Corresponding BibTeX entry:
@Manual{, title = {msgps: Degrees of Freedom of Elastic Net, Adaptive Lasso and Generalized Elastic Net}, author = {Kei Hirose}, year = {2022}, note = {R package version 1.3.5}, url = {https://CRAN.R-project.org/package=msgps}, }
Readme and manuals
Help Manual
Help page | Topics |
---|---|
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 |