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.


Reference manual

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1.0.0 by Quang Nguyen, a year ago

Browse source code at

Authors: Quang Nguyen [cre, aut] , Jie Zhou [aut] , Anne Hoen [aut] , Jiang Gui [aut]

Documentation:   PDF Manual  

GPL-3 license

Imports glmnet, MASS, network

Suggests knitr, rmarkdown

See at CRAN