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
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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)

Peer review:

On CRAN:

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

13 exports 1.45 score 0 dependencies 4 dependents 1 mentions 7 scripts 445 downloads

Last updated 2 years agofrom:5f96b42596. Checks:OK: 9. Indexed: yes.

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

Dependencies: