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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: 3.1.1
Depends: R (≥ 3.0.2)
Imports: glmnet, ncvreg (≥ 3.8-0), foreach, mvtnorm, survival, Matrix
Suggests: knitr, rmarkdown, doParallel
Published: 2024-03-04
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.pdf
Vignettes: A Quick Introduction to msaenet

Downloads:

Package source: msaenet_3.1.1.tar.gz
Windows binaries: r-devel: msaenet_3.1.1.zip, r-release: msaenet_3.1.1.zip, r-oldrel: msaenet_3.1.1.zip
macOS binaries: r-release (arm64): msaenet_3.1.1.tgz, r-oldrel (arm64): msaenet_3.1.1.tgz, r-release (x86_64): msaenet_3.1.1.tgz, r-oldrel (x86_64): msaenet_3.1.1.tgz
Old sources: msaenet archive

Reverse dependencies:

Reverse suggests: stackgbm

Linking:

Please use the canonical form https://CRAN.R-project.org/package=msaenet to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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