R/bnRep.R

In bnRep: A Repository of Bayesian Networks from the Academic Literature

#' bnRep: A Repository of Bayesian Network Models
#'
#' A repository of discrete, Gaussian, and conditional linear Gaussian Bayesian networks from the recent academic literature.
#'
#' @details
#'
#' The package includes over 200 Bayesian networks which appeared in recent academic papers. They can be accessed by their name, as provided in this documentation.
#'
#' They are stored as \code{bn.fit} objects from the \code{bnlearn} package. Recall that in order to plot them, the function \code{bn.net} must be used to convert them into a graph object.
#'
#' The package includes two handy functionalities:
#'
#' \itemize{
#' \item The \code{bnRep_summary} object: a dataframe including a lot of details about the Bayesian networks in the repository;
#' \item The \code{bnRep_app} function, which launchs a Shiny app to explore the Bayesian networks in the repository.
#' }
#
#'
#' Thanks to the interface with \code{bnlearn}, functions from that package can be used to export the networks in other formats and use them in other platforms, such as Netica, Hugin, or Python.
#'
#'
#' @name bnRep
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