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) , Augugliaro et al. (2020b) , Augugliaro et al. (2020a) , Yin et al. (2001) and Stadler et al. (2012) . Imports: methods, MASS License: GPL (>= 2) LazyLoad: yes NeedsCompilation: yes Author: Luigi Augugliaro [aut, cre] (), Gianluca Sottile [aut] (), Ernst C. Wit [aut] (), Veronica Vinciotti [aut] () Maintainer: Luigi Augugliaro Packaged: 2026-06-19 09:00:30 UTC; root Config/pak/sysreqs: libglpk-dev libxml2-dev Repository: https://luigiaugugliaro.r-universe.dev Date/Publication: 2024-02-13 02:30:22 UTC RemoteUrl: https://github.com/cran/cglasso RemoteRef: HEAD RemoteSha: 59a2f69c2a623b5352c336d36566823e358d1e31