SBICgraph: Structural Bayesian Information Criterion for Graphical Models

This is the implementation of the novel structural Bayesian information criterion by Zhou, 2020 (under review). In this method, the prior structure is modeled and incorporated into the Bayesian information criterion framework. Additionally, we also provide the implementation of a two-step algorithm to generate the candidate model pool.

Package details

AuthorQuang Nguyen [cre, aut] (<https://orcid.org/0000-0002-2072-3279>), Jie Zhou [aut], Anne Hoen [aut], Jiang Gui [aut]
MaintainerQuang Nguyen <Quang.P.Nguyen.GR@dartmouth.edu>
LicenseGPL-3
Version1.0.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("SBICgraph")

Try the SBICgraph package in your browser

Any scripts or data that you put into this service are public.

SBICgraph documentation built on March 3, 2021, 1:07 a.m.