Package: bestridge 1.0.7

bestridge: A Comprehensive R Package for Best Subset Selection

The bestridge package is designed to provide a one-stand service for users to successfully carry out best ridge regression in various complex situations via the primal dual active set algorithm proposed by Wen, C., Zhang, A., Quan, S. and Wang, X. (2020) <doi:10.18637/jss.v094.i04>. This package allows users to perform the regression, classification, count regression and censored regression for (ultra) high dimensional data, and it also supports advanced usages like group variable selection and nuisance variable selection.

Authors:Liyuan Hu [aut, cre], Jin Zhu [aut], Junxian Zhu [aut], Kangkang Jiang [aut], Yanhang Zhang [aut], Xueqin Wang [aut], Canhong Wen [aut]

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bestridge.pdf |bestridge.html
bestridge/json (API)
NEWS

# Install 'bestridge' in R:
install.packages('bestridge', repos = c('https://yufeng031.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • duke - Duke breast cancer data
  • patient.data - Lymphoma patients data set
  • trim32 - The Bardet-Biedl syndrome Gene expression data

On CRAN:

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

2.00 score 6 scripts 261 downloads 7 exports 20 dependencies

Last updated 3 years agofrom:bfc33e1aad. Checks:OK: 1 NOTE: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 13 2024
R-4.5-win-x86_64NOTENov 13 2024
R-4.5-linux-x86_64NOTENov 13 2024
R-4.4-win-x86_64NOTENov 13 2024
R-4.4-mac-x86_64NOTENov 13 2024
R-4.4-mac-aarch64NOTENov 13 2024
R-4.3-win-x86_64NOTENov 13 2024
R-4.3-mac-x86_64NOTENov 13 2024
R-4.3-mac-aarch64NOTENov 13 2024

Exports:bsrrgen.datalogLik.bsrrplot.bsrrpredict.bsrrprint.bsrrsummary.bsrr

Dependencies:clicolorspacefarvergluegtablelabelinglatticelifecycleMASSMatrixmunsellpheatmapR6RColorBrewerRcppRcppEigenrlangscalessurvivalviridisLite

An introduction to bestridge

Rendered fromAn-introduction-to-bestridge.Rmdusingknitr::rmarkdownon Nov 13 2024.

Last update: 2021-09-02
Started: 2021-02-16