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) <doi:10.31219/osf.io/w5dx6> The 'bayesvl' R package. Open Science Framework (May 18).
Version: 1.0.0 Depends: R (≥ 3.5.0), rstan (≥ 2.10.0), StanHeaders (≥ 2.18.0), stats, graphics, methods Imports: coda, bnlearn, ggplot2, bayesplot, viridis, reshape2 Suggests: loo (≥ 2.0.0) Published: 2025-05-17 DOI: 10.32614/CRAN.package.bayesvl Author: Viet-Phuong La [aut, cre], Quan-Hoang Vuong [aut] Maintainer: Viet-Phuong La <lvphuong at gmail.com> BugReports: https://github.com/sshpa/bayesvl/issues License: GPL (≥ 3) URL: https://github.com/sshpa/bayesvl NeedsCompilation: no CRAN checks: bayesvl results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=bayesvl to link to this page.
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