R/bnRep_summary.R

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

#' BnRep Summary
#'
#' Summary of the Bayesian networks in \code{bnRep} reporting various graph, definition and application details.
#'
#'
#' @format
#' A data frame with a row for each BN in \code{bnRep} and the following columns:
#' \describe{
#'   \item{Name}{Name of the R object storing the BN;}
#'   \item{Type}{Type of Bayesian network (Discrete, Gaussian, Hybrid);}
#'   \item{Structure}{How the graph of the BN was defined (Data, Expert, Fixed, Knowledge, Mixed, Synthetic);}
#'   \item{Probabilities}{How the probabilities of the BN were defined (Data, Expert, Knowledge, Mixed, Synthetic);}
#'   \item{Graph}{Type of graph of the BN (Generic, K-Dep, Naive Bayes, Reverse Naive Bayes, Reverse Tree, TAN, Tree);}
#'   \item{Area}{Subject area of the Bayesian network using the SJR classification (Agricultural Sciences, Business, Chemical Engineering, etc.);}
#'   \item{Nodes}{Number of nodes in the BN;}
#'   \item{Arcs}{Number of arcs in the BN;}
#'   \item{Parameters}{Number of free parameters in the BN;}
#'   \item{Avg. Parents}{Average number of parents;}
#'   \item{Max Parents}{Maximum number of parents;}
#'   \item{Avg. Levels}{Average number of discrete variables' levels;}
#'   \item{Max Levels}{Max number of discrete variables' levels;}
#'   \item{Average Markov Blanket}{Average size of a node's Markov blanket;}
#'   \item{Year}{Year of the publication where the BN appeared;}
#'   \item{Journal}{Journal where the BN appeared;}
#'   \item{Reference}{Reference of the paper where the BN appeared.}
#' }
#'
#' @examples
#' summary(bnRep_summary)
#'
#' @keywords Datasets
"bnRep_summary"