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 |
Depends: | R (≥ 3.0.2) |
Imports: | glmnet, ncvreg (≥ 3.8-0), foreach, mvtnorm, survival, Matrix |
Suggests: | knitr, rmarkdown, doParallel |
Published: | 2019-05-17 |
Author: | Nan Xiao [aut, cre], Qing-Song Xu [aut] |
Maintainer: | Nan Xiao <me at nanx.me> |
BugReports: | https://github.com/nanxstats/msaenet/issues |
License: | GPL-3 | file LICENSE |
URL: | https://nanx.me/msaenet/, https://github.com/nanxstats/msaenet |
NeedsCompilation: | no |
Citation: | msaenet citation info |
Materials: | README NEWS |
CRAN checks: | msaenet results |
Reference manual: | msaenet.pdf |
Vignettes: |
A Quick Introduction to msaenet |
Package source: | msaenet_3.1.tar.gz |
Windows binaries: | r-devel: msaenet_3.1.zip, r-release: msaenet_3.1.zip, r-oldrel: msaenet_3.1.zip |
macOS binaries: | r-release: msaenet_3.1.tgz, r-oldrel: msaenet_3.1.tgz |
Old sources: | msaenet archive |
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