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: Linking:Please use the canonical form https://CRAN.R-project.org/package=easybgm to link to this page.
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