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: | 0.8.5 |
| Depends: | R (≥ 3.4.0), rstan (≥ 2.10.0), StanHeaders (≥ 2.18.0), stats, graphics, methods |
| Imports: | coda, bnlearn, ggplot2, bayesplot, viridis, reshape2, dplyr |
| Suggests: | loo (≥ 2.0.0) |
| Published: | 2019-05-24 |
| 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 |
| Reference manual: | bayesvl.pdf |
| Package source: | bayesvl_0.8.5.tar.gz |
| Windows binaries: | r-devel: bayesvl_0.8.5.zip, r-release: bayesvl_0.8.5.zip, r-oldrel: bayesvl_0.8.5.zip |
| macOS binaries: | r-release: bayesvl_0.8.5.tgz, r-oldrel: bayesvl_0.8.5.tgz |
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