BDgraph: Bayesian Structure Learning in Graphical Models using
Birth-Death MCMC
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>.
Version: |
2.72 |
Imports: |
igraph, ggplot2, pROC |
Suggests: |
ssgraph, huge, tmvtnorm, skimr, knitr, rmarkdown |
Published: |
2022-12-25 |
DOI: |
10.32614/CRAN.package.BDgraph |
Author: |
Reza Mohammadi
[aut, cre],
Ernst Wit [aut],
Adrian Dobra
[ctb] |
Maintainer: |
Reza Mohammadi <a.mohammadi at uva.nl> |
License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: |
https://www.uva.nl/profile/a.mohammadi |
NeedsCompilation: |
yes |
Citation: |
BDgraph citation info |
Materials: |
README NEWS |
In views: |
Bayesian, GraphicalModels, HighPerformanceComputing, MachineLearning |
CRAN checks: |
BDgraph results |
Documentation:
Downloads:
Reverse dependencies:
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