Conditional graphical lasso (cglasso) estimator is an extension of the graphical lasso proposed to estimate the conditional dependence structure of a set of p response variables given q predictors. This package provides suitable extensions developed to study datasets with censored and/or missing values. Standard conditional graphical lasso is available as a special case. Furthermore, cglasso package provides an integrated set of core routines for visualization, analysis, and simulation of datasets with censored and/or missing values drawn from a Gaussian graphical model.
Version: | 2.0.0 |
Depends: | R (≥ 4.0.0), igraph |
Imports: | methods, MASS |
Published: | 2021-01-05 |
Author: | Luigi Augugliaro |
Maintainer: | Luigi Augugliaro <luigi.augugliaro at unipa.it> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | yes |
Materials: | ChangeLog |
CRAN checks: | cglasso results |
Reference manual: | cglasso.pdf |
Package source: | cglasso_2.0.0.tar.gz |
Windows binaries: | r-devel: cglasso_2.0.0.zip, r-release: cglasso_2.0.0.zip, r-oldrel: cglasso_1.1.2.zip |
macOS binaries: | r-release: cglasso_2.0.0.tgz, r-oldrel: cglasso_1.1.2.tgz |
Old sources: | cglasso archive |
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