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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.
Package details |
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Author | Karoline Huth [aut, cre] (<https://orcid.org/0000-0002-0662-1591>), Sara Keetelaar [ctb] |
Maintainer | Karoline Huth <k.huth@uva.nl> |
License | GPL (>= 2) |
Version | 0.2.1 |
URL | https://github.com/KarolineHuth/easybgm |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
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