Conditional graphical lasso 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, the 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. Details about the implemented models can be found in Augugliaro et al. (2020b) <\doi{10.1007/s11222-020-09945-7}>, Augugliaro et al. (2020a) <\doi{10.1093/biostatistics/kxy043}>, Yin et al. (2001) <\doi{10.1214/11-AOAS494}> and Stadler et al. (2012) <\doi{10.1007/s11222-010-9219-7}>.
Version: | 2.0.1 |
Depends: | R (≥ 3.6.0), igraph |
Imports: | methods, MASS |
Published: | 2021-01-11 |
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_2.0.1.tar.gz |
Windows binaries: | r-devel: cglasso_2.0.1.zip, r-release: cglasso_2.0.1.zip, r-oldrel: cglasso_2.0.1.zip |
macOS binaries: | r-release: cglasso_2.0.1.tgz, r-oldrel: cglasso_2.0.1.tgz |
Old sources: | cglasso archive |
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