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cff-version: 1.2.0
message: 'To cite package "bayesvl" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'bayesvl: Visually Learning the Graphical Structure of Bayesian Networks and
  Performing MCMC with ''Stan'''
version: '1.0'
doi: 10.32614/CRAN.package.bayesvl
abstract: 'Provides users with its associated functions for pedagogical purposes in
  visually learning Bayesian networks and Markov chain Monte Carlo (MCMC) computations.
  It enables users to: a) Create and examine the (starting) graphical structure of
  Bayesian networks; b) Create random Bayesian networks using a dataset with customized
  constraints; c) Generate Stan code for structures of Bayesian networks for sampling
  the data and learning parameters; d) Plot the network graphs; e) Perform Markov
  chain Monte Carlo computations and produce graphs for posteriors checks. The package
  refers to one reference item, which describes the methods and algorithms: Vuong,
  Quan-Hoang and La, Viet-Phuong (2019) <https://doi.org/10.31219/osf.io/w5dx6> The
  ''bayesvl'' R package. Open Science Framework (May 18).'
authors:
- family-names: La
  given-names: Viet-Phuong
  email: lvphuong@gmail.com
- family-names: Vuong
  given-names: Quan-Hoang
  email: hoang.vuongquan@phenikaa-uni.edu.vn
repository: https://sshpa.r-universe.dev
repository-code: https://github.com/sshpa/bayesvl
commit: c307c2e45565067984bfaebccc139109cd319bb3
url: https://github.com/sshpa/bayesvl
date-released: '2019-05-20'
contact:
- family-names: La
  given-names: Viet-Phuong
  email: lvphuong@gmail.com