Package: drrglm
Title: Doubly Regularized Matrix-Variate Regression
Version: 0.3.2
Authors@R: 
    c(person("Zengchao", "Xu", email="zengc.xu@aliyun.com", role = c("aut", "cre", "cph")),
    person("Shan", "Luo", role="aut"),
    person("Binyan", "Jiang", role="aut"))
Maintainer: Zengchao Xu <zengc.xu@aliyun.com>
Description: The doubly regularized matrix-variate regression solves a
        low-rank-plus-sparse structure for matrix-variate generalized
        linear models through a weighted combination of nuclear-norm
        and L1-norm. The methodology implemented by this package is
        described in the paper "Doubly Regularized Matrix-Variate
        Regression", which has been tentatively accepted for
        publication but does not yet have a DOI or URL. A formal
        citation will be added in a future update once the final
        publication details are available.
Depends: R (>= 4.3.0)
Imports: data.table, glmnet, Rcpp, stats
LinkingTo: Rcpp, RcppArmadillo
URL: https://github.com/paradoxical-rhapsody/drrglm
BugReports: https://github.com/paradoxical-rhapsody/drrglm/issues
License: AGPL-3
Encoding: UTF-8
Roxygen: list(load="source", markdown = TRUE)
RoxygenNote: 7.3.3
LazyData: true
LazyDataCompression: xz
Repository: https://paradoxical-rhapsody.r-universe.dev
Date/Publication: 2026-04-20 12:49:52 UTC
RemoteUrl: https://github.com/paradoxical-rhapsody/drrglm
RemoteRef: HEAD
RemoteSha: 43013eb2a9c299c2de25414d754412057487cfee
NeedsCompilation: yes
Packaged: 2026-06-20 07:51:24 UTC; root
Author: Zengchao Xu [aut, cre, cph],
  Shan Luo [aut],
  Binyan Jiang [aut]