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easybgm  

Extracting and Visualizing Bayesian Graphical Models
View on CRAN: Click here


Download and install easybgm package within the R console
Install from CRAN:
install.packages("easybgm")

Install from Github:
library("remotes")
install_github("cran/easybgm")

Install by package version:
library("remotes")
install_version("easybgm", "0.3.1")



Attach the package and use:
library("easybgm")
Maintained by
Karoline Huth
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-10-09
Latest Update: 2024-10-17
Description:
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.
How to cite:
Karoline Huth (2023). easybgm: Extracting and Visualizing Bayesian Graphical Models. R package version 0.3.1, https://cran.r-project.org/web/packages/easybgm. Accessed 27 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:34), 0.1.0 (2023-10-09 15:30), 0.1.1 (2023-11-15 00:30), 0.1.2 (2024-03-13 14:40), 0.2.1 (2024-10-17 10:30), 0.3.1 (2025-12-08 13:10)
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Complete documentation for easybgm
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