Package: drrglm
Title: Doubly Regularized Matrix-Variate Regression
Version: 0.4.0
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".
    See Xu, Luo and Jiang <doi:10.1080/10618600.2026.2702534>.
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: 8.0.0
LazyData: true
LazyDataCompression: xz
NeedsCompilation: yes
Packaged: 2026-09-22 02:21:45 UTC; zengc
Author: Zengchao Xu [aut, cre, cph],
  Shan Luo [aut],
  Binyan Jiang [aut]
Repository: CRAN
Date/Publication: 2026-09-22 07:50:07 UTC
