dilernia/rcm: Implemention of Random Covariance Models

This package implements a random covariance models for joint estimation of multiple sparse precision matrices for Gaussian graphical models. The Random Covariance Model (RCM) utilizes a Kullback-Leibler divergence penalty to induce similarity across matrices.

Getting started

Package details

Maintainer
LicenseGPL-2
Version0.1.1
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("dilernia/rcm")
dilernia/rcm documentation built on Aug. 11, 2020, 7:29 a.m.