Package: bayesvl
Type: Package
Title: Visually Learning the Graphical Structure of Bayesian Networks
        and Performing MCMC with 'Stan'
Version: 1.0
Date: 2019-05-20
Authors@R: c(person("Viet-Phuong", "La", role = c("aut", "cre"), email = "lvphuong@gmail.com"), person("Quan-Hoang", "Vuong", role = c("aut"), email = "hoang.vuongquan@phenikaa-uni.edu.vn"))
Author: Viet-Phuong La [aut, cre], Quan-Hoang Vuong [aut]
Maintainer: Viet-Phuong La <lvphuong@gmail.com>
Imports: coda, bnlearn, ggplot2, bayesplot, viridis, reshape2, dplyr
Suggests: loo (>= 2.0.0)
Depends: R (>= 3.5.0), rstan (>= 2.10.0), StanHeaders (>= 2.18.0),
        stats, graphics, methods
Description: 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).
License: GPL (>= 3)
BugReports: https://github.com/sshpa/bayesvl/issues
URL: https://github.com/sshpa/bayesvl
Config/pak/sysreqs: make libicu-dev
Repository: https://sshpa.r-universe.dev
Date/Publication: 2022-05-25 04:26:49 UTC
RemoteUrl: https://github.com/sshpa/bayesvl
RemoteRef: HEAD
RemoteSha: c307c2e45565067984bfaebccc139109cd319bb3
NeedsCompilation: no
Packaged: 2026-06-22 07:55:14 UTC; root