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bgms: Bayesian Analysis of Networks of Binary and/or Ordinal Variables
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 |
| Depends: |
R (≥ 2.10) |
| Imports: |
Rcpp (≥ 1.0.7), Rdpack, methods |
| LinkingTo: |
Rcpp, RcppProgress |
| Suggests: |
knitr, qgraph, rmarkdown, testthat (≥ 3.0.0) |
| Published: |
2024-02-25 |
| 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 |
Documentation:
Downloads:
Reverse dependencies:
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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