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, van den Bergh, and Haslbeck (in press) <doi:10.31234/osf.io/ukwrf>.
| Version: |
0.1.4.2 |
| Depends: |
R (≥ 2.10) |
| Imports: |
Rcpp (≥ 1.0.7), Rdpack, methods |
| LinkingTo: |
Rcpp, RcppProgress |
| Suggests: |
knitr, qgraph, rmarkdown, testthat (≥ 3.0.0) |
| Published: |
2024-12-05 |
| DOI: |
10.32614/CRAN.package.bgms |
| Author: |
Maarten Marsman 
[aut, cre] (<https://orcid.org/0000-0001-5309-7502>),
Karoline Huth
[ctb] (<https://orcid.org/0000-0002-0662-1591>),
Nikola Sekulovski
[ctb] (<https://orcid.org/0000-0001-7032-1684>),
Don van den Bergh
[ctb] (<https://orcid.org/0000-0002-9838-7308>) |
| 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 |