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
RoxygenNote: 7.3.3
LazyData: true
LazyDataCompression: xz
NeedsCompilation: yes
Packaged: 2026-04-13 12:45:50 UTC; zengc
Author: Zengchao Xu [aut, cre, cph],
  Shan Luo [aut],
  Binyan Jiang [aut]
Repository: CRAN
Date/Publication: 2026-04-20 12:50:02 UTC
Built: R 4.6.0; aarch64-apple-darwin23; 2026-04-26 07:03:31 UTC; unix
Archs: drrglm.so.dSYM
