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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'.
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: |
0.2.1 |
| Imports: |
BDgraph, BGGM, bgms (≥ 0.1.3), dplyr, ggplot2, HDInterval, igraph, qgraph |
| Suggests: |
testthat (≥ 3.0.0), vdiffr |
| Published: |
2024-10-17 |
| DOI: |
10.32614/CRAN.package.easybgm |
| Author: |
Karoline Huth 
[aut, cre],
Sara Keetelaar [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:
Downloads:
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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.