Package: drrglm 0.4.0

Zengchao Xu

drrglm: Doubly Regularized Matrix-Variate Regression

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>.

Authors:Zengchao Xu [aut, cre, cph], Shan Luo [aut], Binyan Jiang [aut]

drrglm_0.4.0.tar.gz
drrglm_0.4.0.zip(r-4.7-x86_64)drrglm_0.4.0.zip(r-4.7-arm64)drrglm_0.4.0.zip(r-4.6-x86_64)drrglm_0.4.0.zip(r-4.6-arm64)drrglm_0.4.0.zip(r-4.5-x86_64)
drrglm_0.4.0.tgz(r-4.6-x86_64)drrglm_0.4.0.tgz(r-4.6-arm64)drrglm_0.4.0.tgz(r-4.5-x86_64)drrglm_0.4.0.tgz(r-4.5-arm64)
drrglm_0.4.0.tar.gz(r-4.7-arm64)drrglm_0.4.0.tar.gz(r-4.7-x86_64)drrglm_0.4.0.tar.gz(r-4.6-arm64)drrglm_0.4.0.tar.gz(r-4.6-x86_64)
drrglm_0.4.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
drrglm/json (API)

# Install 'drrglm' in R:

install.packages('drrglm', repos = c('https://paradoxical-rhapsody.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/paradoxical-rhapsody/drrglm/issues

Uses libs:

openblas– Optimized BLAS
c++– GNU Standard C++ Library v3

Datasets:

EEG - ElectroEncephaloGraphy Data

On CRAN:

openblas cpp

3.40 score 516 downloads 9 exports 12 dependencies

Last updated from:f81c67be90. Checks:15 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	109
linux-devel-x86_64	OK	125
source / vignettes	OK	339
linux-release-arm64	OK	103
linux-release-x86_64	OK	129
macos-release-arm64	OK	157
macos-release-x86_64	OK	288
macos-oldrel-arm64	OK	159
macos-oldrel-x86_64	OK	376
windows-devel-arm64	OK	245
windows-devel-x86_64	OK	153
windows-release-arm64	OK	218
windows-release-x86_64	OK	128
windows-oldrel-x86_64	OK	97
wasm-release	OK	94

Exports:drrglm ini_paras simu_factor_model_data simu_factor_model_paras simu_reg_coefs simu_reg_data simu_zhouandli2014 tune_drr_factor_model tune_drrglm

Dependencies:codetools data.table foreach glmnet iterators lattice Matrix Rcpp RcppArmadillo RcppEigen shape survival

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Doubly Regularized Matrix-Variate GLMs	drr drrglm
ElectroEncephaloGraphy Data	EEG
Initialize Parameters	ini_paras
Simulation: Factor Model with Correlated Noise	simu-factor-model simu_factor_model_data simu_factor_model_paras
Simulation: Matrix-Variate GLM	simu-reg-model simu_reg_coefs simu_reg_data
Simulation: Setups in Regularized Matrix Regression	simu_zhouandli2014
Simulating Data for Factor Model with Correlated Noise	tune_drr_factor_model
Doubly Regularized Regression for Matrix-Variate Data	tune.drrglm tune_drrglm