Package: cglasso
Version: 2.0.7
Date: 2024-02-10
Type: Package
Title: Conditional Graphical LASSO for Gaussian Graphical Models with
        Censored and Missing Values
Authors@R: c(person(given = "Luigi", family = "Augugliaro", email = "luigi.augugliaro@unipa.it", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-4603-7541")),
	     person(given = "Gianluca", family = "Sottile", role = "aut", comment = c(ORCID = "0000-0001-9347-7251")),
	     person(given = "Ernst C.", family = "Wit", role = "aut", comment = c(ORCID = "0000-0002-3671-9610")),
	     person(given = "Veronica", family = "Vinciotti", role = "aut", comment = c(ORCID = "0000-0002-2625-7977")))
Depends: R (>= 3.6.0), igraph
Description: 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. (2023) <doi: 10.18637/jss.v105.i01>, 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>.
Imports: methods, MASS
License: GPL (>= 2)
LazyLoad: yes
NeedsCompilation: yes
Author: Luigi Augugliaro [aut, cre] (<https://orcid.org/0000-0002-4603-7541>),
  Gianluca Sottile [aut] (<https://orcid.org/0000-0001-9347-7251>),
  Ernst C. Wit [aut] (<https://orcid.org/0000-0002-3671-9610>),
  Veronica Vinciotti [aut] (<https://orcid.org/0000-0002-2625-7977>)
Maintainer: Luigi Augugliaro <luigi.augugliaro@unipa.it>
Packaged: 2024-02-12 08:26:37 UTC; luigiaugugliaro
Repository: CRAN
Date/Publication: 2024-02-12 08:40:02 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-27 15:34:25 UTC; unix
Archs: cglasso.so.dSYM
