CRAN/E | bestridge

bestridge

A Comprehensive R Package for Best Subset Selection

Installation

About

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.

Key Metrics

Version 1.0.7
R ≥ 3.5.0
Published 2021-10-10 921 days ago
Needs compilation? yes
License GPL-3
CRAN checks bestridge results

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Maintainer

Maintainer

Liyuan Hu

huly5@mail2.sysu.edu.cn

Authors

Liyuan Hu

aut / cre

Jin Zhu

aut

Junxian Zhu

aut

Kangkang Jiang

aut

Yanhang Zhang

aut

Xueqin Wang

aut

Canhong Wen

aut

Material

NEWS
Reference manual
Package source

Vignettes

An introduction to bestridge

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

bestridge archive

Depends

R ≥ 3.5.0

Imports

Rcpp ≥ 1.0.3
Matrix ≥ 1.2-6
MASS
pheatmap
survival

Suggests

knitr
rmarkdown

LinkingTo

Rcpp
RcppEigen