easybgm: Extracting and Visualizing Bayesian Graphical Models
Fit and visualize the results of a Bayesian analysis of networks commonly found in psychology.
The package supports fitting cross-sectional network models fitted using the packages 'BDgraph', 'bgms' and 'BGGM',
as well as network comparison fitted using the 'bgms' and 'BBGM'.
The package provides the parameter estimates, posterior inclusion probabilities, inclusion Bayes factor, and the
posterior density of the parameters. In addition, for 'BDgraph' and 'bgms' it allows to assess the posterior
structure space. Furthermore, the package comes with an extensive suite for visualizing results.
| Version: |
0.3.1 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
BDgraph, BGGM, bgms (≥ 0.1.4), dplyr, ggplot2, HDInterval, igraph, qgraph, coda |
| Suggests: |
testthat (≥ 3.2.3), vdiffr |
| Published: |
2025-12-08 |
| DOI: |
10.32614/CRAN.package.easybgm |
| Author: |
Karoline Huth 
[aut, cre],
Sara Keetelaar [ctb],
Nikola Sekulovski [ctb],
Gali Geller [ctb] |
| Maintainer: |
Karoline Huth <k.huth at uva.nl> |
| BugReports: |
https://github.com/KarolineHuth/easybgm/issues |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: |
https://github.com/KarolineHuth/easybgm |
| NeedsCompilation: |
no |
| Materials: |
README |
| CRAN checks: |
easybgm results |
Documentation:
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