Package: msaenet
Type: Package
Title: Multi-Step Adaptive Estimation Methods for Sparse Regressions
Version: 3.1.2.9000
Authors@R: c(
    person("Nan", "Xiao", email = "me@nanx.me", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0002-0250-5673")),
    person("Qing-Song", "Xu", email = "qsxu@csu.edu.cn", role = c("aut")))
Maintainer: Nan Xiao <me@nanx.me>
Description: 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.
License: GPL (>= 3)
URL: https://nanx.me/msaenet/, https://github.com/nanxstats/msaenet
Encoding: UTF-8
VignetteBuilder: knitr
BugReports: https://github.com/nanxstats/msaenet/issues
Depends: R (>= 3.0.2)
Imports: Matrix, foreach, glmnet, mvtnorm, ncvreg (>= 3.8-0), survival
Suggests: doParallel, knitr, rmarkdown
RoxygenNote: 7.3.2
Repository: https://nanxstats.r-universe.dev
Date/Publication: 2024-07-21 18:47:53 UTC
RemoteUrl: https://github.com/nanxstats/msaenet
RemoteRef: HEAD
RemoteSha: 8cb5ef6ffc4ed691fa5a6b611f0cbeec836010c9
NeedsCompilation: no
Packaged: 2026-07-04 06:27:00 UTC; root
Author: Nan Xiao [aut, cre] (ORCID: <https://orcid.org/0000-0002-0250-5673>),
  Qing-Song Xu [aut]