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easybgm
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", "0.1.2")
Attach the package and use:
library("easybgm")
Maintained by
Karoline Huth
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-10-09
Latest Update: 2023-11-14
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 0.1.2, https://cran.r-project.org/web/packages/easybgm
Other packages that cited easybgm R package
View easybgm citation profile
Other R packages that easybgm depends,
imports, suggests or enhances
Functions, R codes and Examples using
the easybgm R package
Some associated functions: HDI . bgm_extract . bgm_fit . centrality . complexity_probs . easybgm . edgeevidence . network . print.easybgm . structure . structure_probs . summary.easybgm .
Some associated R codes: AuxiliaryFunctions.R . bgm_extract_class.R . bgm_fit_class.R . bgm_plot_class.R . easybgm.R . functions.bdgraph.R . functions.bggm.R . functions.bgms.R . plottingfunctions.bgms.R . plottingfunctions.easybgm.R . summary.easybgm.R . Full easybgm package functions and examples
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