cglasso: Conditional Graphical LASSO for Gaussian Graphical Models with Censored and Missing Values

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 ORCID iD [aut, cre], Gianluca Sottile ORCID iD [aut], Ernst C. Wit ORCID iD [aut], Veronica Vinciotti ORCID iD [aut]
Maintainer: Luigi Augugliaro <luigi.augugliaro at>
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:, r-release:, r-oldrel:
macOS binaries: r-release: cglasso_2.0.0.tgz, r-oldrel: cglasso_1.1.2.tgz
Old sources: cglasso archive


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