R/synthetic_bn.R

In bnmonitor: An Implementation of Sensitivity Analysis in Bayesian Networks

#' A synthetic Bayesian network
#'
#'\code{synthetic_bn} is a \code{bn.fit} object for a simple Bayesian network involving three variables.
#'
#' @docType data
#'
#' @usage synthetic_bn
#'
#'
#' @format The Bayesian network \code{bnsens_example} comprehends the following nodes:
#' \itemize{
#'   \item \bold{y1}: three-level factor with levels \emph{1}, \emph{2}, \emph{3}.
#'   \item \bold{y2}: three-level factor with levels \emph{1}, \emph{2}, \emph{3}.
#'   \item \bold{y3}:  three-level factor with levels \emph{1}, \emph{2}, \emph{3}.
#' }
#'
#'@source	 Manuele Leonelli, Eva Riccomagno (2018). "A geometric characterisation of sensitivity analysis in monomial models". \url{https://arxiv.org/abs/1901.02058}
"synthetic_bn"