# Bayesvl software package (Github Repository)

Bayesvl is R package for visually learning the graphical structures of Bayesian networks, and performing Hamiltonian Markov chain Monte Carlo (MCMC) with 'Stan'.

Features:

* Creating the (starting) graphical structure of Bayesian networks
* Creating one or more random Bayesian networks learned from dataset with customized constraints
* Generating Stan code for structures of Bayesian networks for sampling and parameter learning
* Plotting the Bayesian network graphs
* Performing Markov chain Monte Carlo (MCMC) simulations and plotting various graphs for posteriors check
* Compatibility with R 3.4 or newer versions


Resources:

Github repository (v1.0): https://github.com/sshpa/bayesvl

Cran project (v0.85): https://cran.r-project.org/web/packages/bayesvl/index.html