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.

Getting started

Package details

AuthorKaroline Huth [aut, cre] (<https://orcid.org/0000-0002-0662-1591>), Sara Keetelaar [ctb]
MaintainerKaroline Huth <k.huth@uva.nl>
LicenseGPL (>= 2)
Version0.2.1
URL https://github.com/KarolineHuth/easybgm
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("easybgm")

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easybgm documentation built on Oct. 17, 2024, 9:08 a.m.