Package: drrglm 0.3.2

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", 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.
Authors:
drrglm_0.3.2.tar.gz
drrglm_0.3.2.zip(r-4.7)drrglm_0.3.2.zip(r-4.6)drrglm_0.3.2.zip(r-4.5)
drrglm_0.3.2.tgz(r-4.6-x86_64)drrglm_0.3.2.tgz(r-4.6-arm64)drrglm_0.3.2.tgz(r-4.5-x86_64)drrglm_0.3.2.tgz(r-4.5-arm64)
drrglm_0.3.2.tar.gz(r-4.7-arm64)drrglm_0.3.2.tar.gz(r-4.7-x86_64)drrglm_0.3.2.tar.gz(r-4.6-arm64)drrglm_0.3.2.tar.gz(r-4.6-x86_64)
drrglm_0.3.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
drrglm/json (API)
NEWS
| # 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
- EEG - ElectroEncephaloGraphy Data
Last updated from:43013eb2a9. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 144 | ||
| linux-devel-x86_64 | OK | 144 | ||
| source / vignettes | OK | 178 | ||
| linux-release-arm64 | OK | 131 | ||
| linux-release-x86_64 | OK | 118 | ||
| macos-release-arm64 | OK | 124 | ||
| macos-release-x86_64 | OK | 199 | ||
| macos-oldrel-arm64 | OK | 178 | ||
| macos-oldrel-x86_64 | OK | 246 | ||
| windows-devel | OK | 146 | ||
| windows-release | OK | 125 | ||
| windows-oldrel | OK | 160 | ||
| wasm-release | OK | 107 |
Exports:drrglmini_parassimu_factor_model_datasimu_factor_model_parassimu_reg_coefssimu_reg_datasimu_zhouandli2014tune_drr_factor_modeltune_drrglm
Dependencies:codetoolsdata.tableforeachglmnetiteratorslatticeMatrixRcppRcppArmadilloRcppEigenshapesurvival
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 |