Package: SBICgraph
Title: Structural Bayesian Information Criterion for Graphical Models
Version: 1.0.0
Authors@R: 
    c(person(given = "Quang",
           family = "Nguyen",
           role = c("cre", "aut"),
           email = "Quang.P.Nguyen.GR@dartmouth.edu",
           comment = c(ORCID = "0000-0002-2072-3279")),
    person(given = "Jie", 
          family = "Zhou",
          role = c("aut"),
          email = "Jie.Zhou-2@dartmouth.edu"),
    person(given = "Anne",
          family = "Hoen",
          role = c("aut"),
          email = "Anne.G.Hoen@dartmouth.edu"),
    person(given = "Jiang",
          family = "Gui",
          role = c("aut"),
          email = "Jiang.Gui@dartmouth.edu"))
Description: 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.
License: GPL-3
Encoding: UTF-8
Imports: glmnet, MASS, network
RoxygenNote: 7.1.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-07 10:20:30 UTC; root
Author: Quang Nguyen [cre, aut]
        (<https://orcid.org/0000-0002-2072-3279>), Jie Zhou [aut], Anne
        Hoen [aut], Jiang Gui [aut]
Maintainer: Quang Nguyen <Quang.P.Nguyen.GR@dartmouth.edu>
Repository: https://qpmnguyen.r-universe.dev
Date/Publication: 2021-03-02 18:10:09 UTC
RemoteUrl: https://github.com/cran/SBICgraph
RemoteRef: HEAD
RemoteSha: cc38c4238c153adb7404a9f8e46d18cde161e729