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).
Package details |
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Author | Viet-Phuong La [aut, cre], Quan-Hoang Vuong [aut] |
Maintainer | Viet-Phuong La <lvphuong@gmail.com> |
License | GPL (>= 3) |
Version | 0.8.5 |
URL | https://github.com/sshpa/bayesvl |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
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