Nothing
#' fundraising Bayesian Network
#'
#' A coupled mathematical model of the dissemination route of short-term fund-raising fraud.
#'
#' @usage NULL
#'
#' @format
#' A discrete Bayesian network to analyze the dissemination, identification, and causation of fund-raising fraud. Probabilities were given within the referenced paper. The vertices are:
#' \describe{
#' \item{FailureInvest}{(Yes, No);}
#' \item{FinancialFraud}{(Yes, No);}
#' \item{LackAwareness}{(Yes, No);}
#' \item{LackKnowledge}{(Yes, No);}
#' \item{LackRegulation}{(Yes, No);}
#' \item{OverTrust}{(Yes, No);}
#' \item{PatsyInvestment}{(Yes, No);}
#' \item{PromotionalMessages}{(Yes, No);}
#' }
#'
#' @return An object of class \code{bn.fit}. Refer to the documentation of \code{bnlearn} for details.
#'
#' @keywords NULL
#' @importClassesFrom bnlearn bn.fit
#' @references Yang, S., Su, K., Wang, B., & Xu, Z. (2022). A coupled mathematical model of the dissemination route of short-term fund-raising fraud. Mathematics, 10(10), 1709.
"fundraising"
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.