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drrglm  

Doubly Regularized Matrix-Variate Regression
View on CRAN: Click here


Download and install drrglm package within the R console
Install from CRAN:
install.packages("drrglm")

Install from Github:
library("remotes")
install_github("cran/drrglm")

Install by package version:
library("remotes")
install_version("drrglm", "0.4.0")



Attach the package and use:
library("drrglm")
Maintained by
Zengchao Xu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-04-20
Latest Update: 2026-04-20
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.
How to cite:
Zengchao Xu (2026). drrglm: Doubly Regularized Matrix-Variate Regression. R package version 0.4.0, https://cran.r-project.org/web/packages/drrglm. Accessed 05 Oct. 2026.
Previous versions and publish date:
(2026-09-22 09:50), 0.3.2 (2026-04-20 14:50)
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Complete documentation for drrglm
Functions, R codes and Examples using the drrglm R package
Full drrglm package functions and examples
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