BeSS: Best Subset Selection /Ridge Regression in Linear, Logistic, Poisson and CoxPH Models

An implementation of best subset selection in generalized linear model and Cox proportional hazard model 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>. The algorithm formulates coefficient parameters and residuals as primal and dual variables and utilizes efficient active set selection strategies based on the complementarity of the primal and dual variables.

Version: 2.0.2
Depends: R (≥ 3.5.0)
Imports: Rcpp (≥ 1.0.3), Matrix (≥ 1.2-6), MASS, pheatmap, survival
LinkingTo: Rcpp, RcppEigen
Suggests: knitr, HCmodelSets, rmarkdown
Published: 2021-01-23
Author: Canhong Wen [aut, cre], Aijun Zhang [aut], Shijie Quan [aut], Liyuan Hu [aut], Kangkang Jiang [aut], Yanhang Zhang [aut], Jin Zhu [aut], Xueqin Wang [aut]
Maintainer: Canhong Wen <wencanhong at gmail.com>
BugReports: https://github.com/Mamba413/bess/issues
License: GPL-3
URL: https://github.com/Mamba413/bess
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: BeSS results

Downloads:

Reference manual: BeSS.pdf
Vignettes: An introduction to BeSS
Package source: BeSS_2.0.2.tar.gz
Windows binaries: r-devel: BeSS_2.0.2.zip, r-release: BeSS_2.0.2.zip, r-oldrel: BeSS_2.0.2.zip
macOS binaries: r-release: BeSS_2.0.2.tgz, r-oldrel: BeSS_2.0.2.tgz
Old sources: BeSS archive

Reverse dependencies:

Reverse suggests: FRESA.CAD

Linking:

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