bayesvl (0.8.5)

3 users

Visually Learning the Graphical Structure of Bayesian Networks and Performing MCMC with 'Stan'.

https://github.com/sshpa/bayesvl
http://cran.r-project.org/web/packages/bayesvl

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) The 'bayesvl' R package. Open Science Framework (May 18).

Maintainer: Viet-Phuong La
Author(s): Viet-Phuong La [aut, cre], Quan-Hoang Vuong [aut]

License: GPL (>= 3)

Uses: bayesplot, bnlearn, coda, dplyr, ggplot2, reshape2, rstan, StanHeaders, viridis, loo

Released 26 days ago.


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