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 |
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 |
Reference manual: | easybgm.pdf |
Package source: | easybgm_0.2.1.tar.gz |
Windows binaries: | r-devel: easybgm_0.2.1.zip, r-release: easybgm_0.2.1.zip, r-oldrel: easybgm_0.2.1.zip |
macOS binaries: | r-devel (arm64): easybgm_0.2.1.tgz, r-release (arm64): easybgm_0.2.1.tgz, r-oldrel (arm64): easybgm_0.2.1.tgz, r-devel (x86_64): easybgm_0.2.1.tgz, r-release (x86_64): easybgm_0.2.1.tgz, r-oldrel (x86_64): easybgm_0.2.1.tgz |
Old sources: | easybgm archive |
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