Package: BDgraph
Title: Bayesian Structure Learning in Graphical Models using
        Birth-Death MCMC
Version: 2.72
Authors@R: 
    c(person(given = "Reza",
             family = "Mohammadi",
             role = c("aut", "cre"),
             email = "a.mohammadi@uva.nl",
             comment = c(ORCID = "0000-0001-9538-0648")),
	  person(given = "Ernst",
             family = "Wit",
             role = c("aut"),
             comment = c(ORCID = "0000-0002-3671-9610")),
	  person(given = "Adrian",
             family = "Dobra",
             role = c("ctb"),
             comment = c(ORCID = "0000-0001-7793-2197"))         
      )
Description: Statistical tools for Bayesian structure learning in undirected graphical models for continuous, ordinal/discrete/count, and mixed data. The package is implemented the recent improvements in the Bayesian graphical models' literature, including Mohammadi and Wit (2015) <doi:10.1214/14-BA889>, Mohammadi et al. (2021) <doi:10.1080/01621459.2021.1996377>, and Dobra and Mohammadi (2018) <doi:10.1214/18-AOAS1164>. 
URL: https://www.uva.nl/profile/a.mohammadi
Imports: igraph, ggplot2, pROC
Suggests: ssgraph, huge, tmvtnorm, skimr, knitr, rmarkdown
VignetteBuilder: knitr
License: GPL (>= 2)
Repository: CRAN
NeedsCompilation: yes
Author: Reza Mohammadi [aut, cre] (<https://orcid.org/0000-0001-9538-0648>),
  Ernst Wit [aut] (<https://orcid.org/0000-0002-3671-9610>),
  Adrian Dobra [ctb] (<https://orcid.org/0000-0001-7793-2197>)
Maintainer: Reza Mohammadi <a.mohammadi@uva.nl>
Packaged: 2022-12-24 12:57:22 UTC; reza
Date/Publication: 2022-12-25 07:20:14 UTC
Built: R 4.3.1; aarch64-apple-darwin22.4.0; 2023-10-07 12:59:19 UTC; unix
