Package: BDgraph
Title: Bayesian Structure Learning in Graphical Models using
        Birth-Death MCMC
Version: 2.66
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, discrete, 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 Mohammadi and Wit (2019) <doi:10.18637/jss.v089.i03>. 
URL: https://www.uva.nl/profile/a.mohammadi
Imports: igraph
Suggests: ssgraph, huge, pROC, ggplot2, tmvtnorm
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: 2022-04-14 14:15:52 UTC; reza
Depends: R (>= 2.10)
Date/Publication: 2022-04-14 15:12:30 UTC
Built: R 4.0.5; x86_64-w64-mingw32; 2022-04-21 07:04:56 UTC; windows
Archs: i386, x64
