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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 |
Reference manual: | CVglasso.pdf |
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 imports: | comparison, GGRidge |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.