R/project.R

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

#' project Bayesian Network
#'
#' A collective efficacy-based approach for bi-objective sustainable project portfolio selection using interdependency network model between projects.
#'
#' @usage NULL
#'
#' @format
#' A discrete Bayesian network  to analyze the criticality and possible impact of a project's failure on each other and on the entire portfolio. Probabilities were given within the referenced paper. The vertices are:
#' \describe{
#'   \item{P1}{(F, T);}
#'   \item{P2}{(F, T);}
#'   \item{P3}{(F, T);}
#'   \item{P4}{(F, T);}
#'   \item{P5}{(F, T);}
#'   \item{P6}{(F, T);}
#'   \item{P7}{(F, T);}
#'   \item{P8}{(F, T);}
#'   \item{P9}{(F, T);}
#'   \item{P10}{(F, T);}
#'   \item{P11}{(F, T);}
#'   \item{P12}{(F, T);}
#'   \item{P13}{(F, T);}
#'   \item{P14}{(F, T);}
#'   \item{P15}{(F, T);}
#'   \item{P16}{(F, T);}
#'   \item{P17}{(F, T);}
#'   \item{P18}{(F, T);}
#'   \item{P19}{(F, T);}
#'   \item{P20}{(F, T);}
#'   \item{P21}{(F, T);}
#' }
#'
#' @return An object of class \code{bn.fit}. Refer to the documentation of \code{bnlearn} for details.
#' @keywords NULL
#' @importClassesFrom bnlearn bn.fit
#' @references Ebnerasoul, M., Ghannadpour, S. F., & Haeri, A. (2023). A collective efficacy-based approach for bi-objective sustainable project portfolio selection using interdependency network model between projects. Environment, Development and Sustainability, 25(12), 13981-14001.
"project"