Package: xrnet
Type: Package
Title: Hierarchical Regularized Regression
Version: 1.0.1
Authors@R: c(
  person("Garrett", "Weaver", email = "gweaverdev@icloud.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-9918-8386")),
  person("Dixin", "Shen", email = "dixinshe@usc.edu", role = c("aut")),
  person("Juan Pablo", "Lewinger", email = "lewinger@usc.edu", role = c("ctb", "ths")))
URL: https://github.com/USCbiostats/xrnet,
        https://uscbiostats.github.io/xrnet/
Description: Fits hierarchical regularized regression models to
        incorporate potentially informative external data, Weaver and
        Lewinger (2019) <doi:10.21105/joss.01761>. Utilizes coordinate
        descent to efficiently fit regularized regression models both
        with and without external information with the most common
        penalties used in practice (i.e. ridge, lasso, elastic net).
        Support for standard R matrices, sparse matrices and big.matrix
        objects.
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.1
Suggests: knitr, rmarkdown, testthat, Matrix, doParallel
LinkingTo: Rcpp, RcppEigen, BH, bigmemory
Imports: Rcpp (>= 0.12.19), foreach, bigmemory, methods
Depends: R (>= 4.0)
BugReports: https://github.com/USCbiostats/xrnet/issues
Repository: https://uscbiostats.r-universe.dev
Date/Publication: 2025-12-17 17:43:44 UTC
RemoteUrl: https://github.com/uscbiostats/xrnet
RemoteRef: HEAD
RemoteSha: e171fe742488a548e8e461b7a5398ffd308fa053
NeedsCompilation: yes
Packaged: 2026-06-20 06:36:34 UTC; root
Author: Garrett Weaver [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-9918-8386>),
  Dixin Shen [aut],
  Juan Pablo Lewinger [ctb, ths]
Maintainer: Garrett Weaver <gweaverdev@icloud.com>