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
LazyData: true
Imports: glmnet, MASS, network
RoxygenNote: 7.1.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-03-01 16:13:33 UTC; quang
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: CRAN
Date/Publication: 2021-03-02 19:10:09 UTC
Built: R 4.6.0; ; 2026-04-26 10:11:21 UTC; unix
