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 [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:
Downloads:
Reverse dependencies:
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