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/s11222020099457>, Augugliaro et al. (2020a) <doi: 10.1093/biostatistics/kxy043>, Yin et al. (2001) <doi: 10.1214/11AOAS494> and Stadler et al. (2012) <doi: 10.1007/s1122201092197>.
Package details 


Author  Luigi Augugliaro [aut, cre] (<https://orcid.org/0000000246037541>), Gianluca Sottile [aut] (<https://orcid.org/0000000193477251>), Ernst C. Wit [aut] (<https://orcid.org/0000000236719610>), Veronica Vinciotti [aut] (<https://orcid.org/0000000226257977>) 
Maintainer  Luigi Augugliaro <luigi.augugliaro@unipa.it> 
License  GPL (>= 2) 
Version  2.0.4 
Package repository  View on CRAN 
Installation 
Install the latest version of this package by entering the following in R:

Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.