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CVglasso: Lasso Penalized Precision Matrix Estimation

Estimates a lasso penalized precision matrix via the blockwise coordinate descent (BCD). This package is a simple wrapper around the popular 'glasso' package that extends and enhances its capabilities. These enhancements include built-in cross validation and visualizations. See Friedman et al (2008) <doi:10.1093/biostatistics/kxm045> for details regarding the estimation method.

Version:1.0
Depends:doParallel
Imports:stats, parallel,foreach,ggplot2,dplyr,glasso
Suggests:testthat
Published:2018-06-04
DOI:10.32614/CRAN.package.CVglasso
Author:Matt Galloway [aut, cre]
Maintainer:Matt Galloway <gall0441 at umn.edu>
BugReports:https://github.com/MGallow/CVglasso/issues
License:GPL-2 |GPL-3 [expanded from: GPL (≥ 2)]
URL:https://github.com/MGallow/CVglasso
NeedsCompilation:no
CRAN checks:CVglasso results

Documentation:

Reference manual:CVglasso.html ,CVglasso.pdf

Downloads:

Package source: CVglasso_1.0.tar.gz
Windows binaries: r-devel:CVglasso_1.0.zip, r-release:CVglasso_1.0.zip, r-oldrel:CVglasso_1.0.zip
macOS binaries: r-release (arm64):CVglasso_1.0.tgz, r-oldrel (arm64):CVglasso_1.0.tgz, r-release (x86_64):CVglasso_1.0.tgz, r-oldrel (x86_64):CVglasso_1.0.tgz

Reverse dependencies:

Reverse imports:comparison,GGRidge

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=CVglassoto link to this page.


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