Package: OHPL
Type: Package
Title: Ordered Homogeneity Pursuit Lasso for Group Variable Selection
Version: 1.4.2
Authors@R: c(
    person("You-Wu", "Lin", email = "lyw015813@126.com", role = c("aut")),
    person("Nan", "Xiao", email = "me@nanx.me", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0002-0250-5673")))
Description: Ordered homogeneity pursuit lasso (OHPL)
    algorithm for group variable selection proposed in Lin et al. (2017)
    <DOI:10.1016/j.chemolab.2017.07.004>. The OHPL method exploits the
    homogeneity structure in high-dimensional data and enjoys the
    grouping effect to select groups of important variables
    automatically. This feature makes it particularly useful for
    high-dimensional datasets with strongly correlated variables,
    such as spectroscopic data.
License: GPL-3 | file LICENSE
URL: https://ohpl.io, https://ohpl.io/doc/,
        https://github.com/nanxstats/OHPL
BugReports: https://github.com/nanxstats/OHPL/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.0.2)
Imports: glmnet, mvtnorm, pls
RoxygenNote: 7.3.3
NeedsCompilation: no
Packaged: 2026-04-13 00:17:57 UTC; nanx
Author: You-Wu Lin [aut],
  Nan Xiao [aut, cre] (ORCID: <https://orcid.org/0000-0002-0250-5673>)
Maintainer: Nan Xiao <me@nanx.me>
Repository: CRAN
Date/Publication: 2026-04-13 11:40:13 UTC
Built: R 4.6.0; ; 2026-04-26 09:11:39 UTC; unix
