Structural Bayesian Information Criterion for Graphical Models R package SBICgraph version 1.0.0 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. Software Imports: glmnet, MASS, network Suggests: knitr, rmarkdown Quang Nguyen <Quang.P.Nguyen.GR@dartmouth.edu> Comprehensive R Archive Network (CRAN) Quang Nguyen [cre, aut] (ORCID: <https://orcid.org/0000-0002-2072-3279>), Jie Zhou [aut], Anne Hoen [aut], Jiang Gui [aut] GPL-3 2021-03-02 application/tgz https://CRAN.R-project.org/package=SBICgraph doi:10.32614/CRAN.package.SBICgraph