Doubly Regularized Matrix-Variate Regression R package drrglm version 0.3.2 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. Software Depends: R (>= 4.3.0) Imports: data.table, glmnet, Rcpp, stats LinkingTo: Rcpp, RcppArmadillo Zengchao Xu <zengc.xu@aliyun.com> Comprehensive R Archive Network (CRAN) Zengchao Xu [aut, cre, cph], Shan Luo [aut], Binyan Jiang [aut] AGPL-3 2026-04-20 application/tgz https://CRAN.R-project.org/package=drrglm doi:10.32614/CRAN.package.drrglm