Bayesian variable selection methods for analyzing the structure of a Markov Random Field model for a network of binary and/or ordinal variables. Details of the implemented methods can be found in: Marsman and Haslbeck (2023) <doi:10.31234/osf.io/ukwrf>.
Version: |
0.1.3.1 |
Depends: |
R (≥ 2.10) |
Imports: |
Rcpp (≥ 1.0.7), Rdpack, methods |
LinkingTo: |
Rcpp, RcppProgress |
Suggests: |
knitr, qgraph, rmarkdown, testthat (≥ 3.0.0) |
Published: |
2024-05-15 |
DOI: |
10.32614/CRAN.package.bgms |
Author: |
Maarten Marsman
[aut, cre],
Karoline Huth
[ctb],
Nikola Sekulovski
[ctb],
Don van den Bergh
[ctb] |
Maintainer: |
Maarten Marsman <m.marsman at uva.nl> |
BugReports: |
https://github.com/MaartenMarsman/bgms/issues |
License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: |
https://maartenmarsman.github.io/bgms/ |
NeedsCompilation: |
yes |
Citation: |
bgms citation info |
Materials: |
README NEWS |
CRAN checks: |
bgms results |