msaenet: Multi-Step Adaptive Estimation Methods for Sparse Regressions

Multi-step adaptive elastic-net (MSAENet) algorithm for feature selection in high-dimensional regressions proposed in Xiao and Xu (2015) <doi:10.1080/00949655.2015.1016944>, with support for multi-step adaptive MCP-net (MSAMNet) and multi-step adaptive SCAD-net (MSASNet) methods.

Version: 3.1.2
Depends: R (≥ 3.0.2)
Imports: Matrix, foreach, glmnet, mvtnorm, ncvreg (≥ 3.8-0), survival
Suggests: doParallel, knitr, rmarkdown
Published: 2024-05-11
DOI: 10.32614/CRAN.package.msaenet
Author: Nan Xiao ORCID iD [aut, cre], Qing-Song Xu [aut]
Maintainer: Nan Xiao <me at nanx.me>
BugReports: https://github.com/nanxstats/msaenet/issues
License: GPL (≥ 3)
URL: https://nanx.me/msaenet/, https://github.com/nanxstats/msaenet
NeedsCompilation: no
Citation: msaenet citation info
Materials: README, NEWS
CRAN checks: msaenet results

Documentation:

Reference manual: msaenet.html , msaenet.pdf
Vignettes: A Quick Introduction to msaenet (source, R code)

Downloads:

Package source: msaenet_3.1.2.tar.gz
Windows binaries: r-devel: msaenet_3.1.2.zip, r-release: msaenet_3.1.2.zip, r-oldrel: msaenet_3.1.2.zip
macOS binaries: r-release (arm64): msaenet_3.1.2.tgz, r-oldrel (arm64): msaenet_3.1.2.tgz, r-release (x86_64): msaenet_3.1.2.tgz, r-oldrel (x86_64): msaenet_3.1.2.tgz
Old sources: msaenet archive

Reverse dependencies:

Reverse suggests: stackgbm

Linking:

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