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bgms  

Bayesian Analysis of Networks of Binary and/or Ordinal Variables
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("bgms", "0.1.3")



Attach the package and use:
library("bgms")
Maintained by
Maarten Marsman
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-04-21
Latest Update: 2024-02-25
Description:
Bayesian variable selection methods for analyzing the structure of a Markov Random Field model for a network of binary and/or ordinal variables. Details of the implemented methods can be found in: Marsman and Haslbeck (2023) .
How to cite:
Maarten Marsman (2023). bgms: Bayesian Analysis of Networks of Binary and/or Ordinal Variables. R package version 0.1.3, https://cran.r-project.org/web/packages/bgms
Previous versions and publish date:
0.1.0 (2023-04-21 09:32), 0.1.1 (2023-09-01 14:20), 0.1.2 (2023-10-13 21:20), 0.1.3 (2024-02-25 19:50)
Other packages that cited bgms R package
View bgms citation profile
Other R packages that bgms depends, imports, suggests or enhances
Functions, R codes and Examples using the bgms R package
Some associated functions: Wenchuan . bgm.em . bgm . bgms-package . mple . mppe . mrfSampler . 
Some associated R codes: RcppExports.R . bgm.R . bgm.em.R . bgms-package.R . datasets.R . maximum_pseudolikelihood.R . maximum_pseudoposterior.R . sampleMRF.R . utility_functions.R .  Full bgms package functions and examples
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