Depends: R (>= 3.5.0), bitops, igraph, methods
Suggests: graph, Rgraphviz, qgraph, knitr, testthat

Depends: R (>= 3.5.0), bitops, Matrix, igraph, methods

the Max-Min Hill-climbing heuristic search, and the Structural
Depends: R (>= 2.10), bitops, Matrix, methods
Authors@R: c(person("Francesco", "Sambo", role=c("aut","cre"), email="francesco.sambo@dei.unipd.it"),

Title: Interactive Visualization of Bayesian Networks
Description: Interactive visualization of Bayesian Networks.
The 'bnviewer' package reads various structure learning algorithms provided by the
'bnlearn' package and allows you to view them interactively.
Imports: visNetwork (>= 2.0.4), bnlearn (>= 4.3), methods, igraph (>=
Packaged: 2018-07-30 14:14:23 UTC; robsonfernandes

Packaged: 2018-12-10 20:24:49 UTC; robsonfernandes

Description: Bayesian networks provide an intuitive framework for probabilistic reasoning
and its graphical nature can be interpreted quite clearly. Graph based methods
of machine learning are becoming more popular because they offer a richer model
of knowledge that can be understood by a human in a graphical format. The 'bnviewer'
is an R Package that allows the interactive visualization of Bayesian Networks.
The aim of this package is to improve the Bayesian Networks visualization over
the basic and static views offered by existing packages.
Packaged: 2019-03-31 14:22:37 UTC; robsonfernandes

Packaged: 2019-06-08 19:19:59 UTC; robsonfernandes

Packaged: 2019-08-20 21:14:23 UTC; robsonfernandes

Packaged: 2020-07-22 03:18:23 UTC; robsonfernandes

Title: Bayesian Networks Interactive Visualization and Explainable
Authors@R: person("Robson", "Fernandes", email = "robson.fernandes@usp.br", role = c("aut", "cre", "cph"))
1.2.4), shiny, assertthat, caret, e1071, graphics
Author: Robson Fernandes [aut, cre, cph]

Title: Bayesian Output Analysis Program for MCMC
Maintainer: Brian J. Smith <brian-j-smith@uiowa.edu>
Description: A menu-driven program and library of functions for carrying out
convergence diagnostics and statistical and graphical analysis of Markov
Packaged: Mon Apr 19 10:16:57 2004; bjsmith