Package: msaenet
Type: Package
Title: Multi-Step Adaptive Estimation Methods for Sparse Regressions
Version: 3.1.2
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: 7.3.1
NeedsCompilation: no
Packaged: 2024-05-11 00:12:30 UTC; nanx
Author: Nan Xiao [aut, cre] (<https://orcid.org/0000-0002-0250-5673>),
  Qing-Song Xu [aut]
Repository: CRAN
Date/Publication: 2024-05-11 02:23:01 UTC
Built: R 4.6.0; ; 2026-04-28 01:36:24 UTC; unix
