R/tastingtea.R

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

#' tastingtea Bayesian Network
#'
#'
#' A Bayesian network for modelling the Lady tasting tea experiment.
#' @usage NULL
#'
#' @format
#' A discrete Bayesian network for modelling the Lady Tasting Tea experiment. The probabilities were given in the referenced paper. The vertices are:
#' \describe{
#' \item{AbilityToTaste}{(0.5, 0.75, 1);}
#' \item{Cup1}{(tea, milk);}
#' \item{Cup2}{(tea, milk);}
#' \item{Cup3}{(tea, milk);}
#' \item{Cup4}{(tea, milk);}
#' \item{Cup5}{(tea, milk);}
#' \item{Cup6}{(tea, milk);}
#' \item{Cup7}{(tea, milk);}
#' \item{Cup8}{(tea, milk);}
#' \item{TestOutcome1}{(tea, milk);}
#' \item{TestOutcome2}{(tea, milk);}
#' \item{TestOutcome3}{(tea, milk);}
#' \item{TestOutcome4}{(tea, milk);}
#' \item{TestOutcome5}{(tea, milk);}
#' \item{TestOutcome6}{(tea, milk);}
#' \item{TestOutcome7}{(tea, milk);}
#' \item{TestOutcome8}{(tea, milk);}
#'  }
#'
#' @return An object of class \code{bn.fit}. Refer to the documentation of \code{bnlearn} for details.
#' @keywords NULL
#' @importClassesFrom bnlearn bn.fit
#' @references Xie, G. (2024). A Bayesian network for modelling the Lady tasting tea experiment. PloS one, 19(7), e0307866.
"tastingtea"