R/rainwater.R

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

#' rainwater Bayesian Network
#'
#' Short-term instead of long-term rainfall time series in rainwater harvesting simulation in houses: An assessment using Bayesian Network.
#'
#' @usage NULL
#'
#' @format
#' A discrete Bayesian network to predict if a given short-term time series leads to results similar to those obtained using a long-term time series. Probabilities were given within the referenced paper. The vertices are:
#' \describe{
#' \item{Representativeness}{(Yes, No);}
#' \item{SeriesLength}{(One Year, Two Year, Three Year, Four Year, Five Year, Six Year, Seven Year, Eigth Year, Nine Year, Ten Year, Fifteen Year, Twenty Year);}
#' \item{SeasonalityIndex}{(High, Medium, Low);}
#' \item{RainwaterDemand}{(Demand 20, Demand 30, Demand 40, Demand 50);}
#' \item{AverageAnnualRainfall}{(High, Medium, Low);}
#' \item{AverageNumberOfDryDaysPerYear}{(High, Medium, Low);}
#'  }
#'
#' @return An object of class \code{bn.fit}. Refer to the documentation of \code{bnlearn} for details.
#' @keywords TAN
#' @importClassesFrom bnlearn bn.fit
#' @references Geraldi, M. S., & Ghisi, E. (2019). Short-term instead of long-term rainfall time series in rainwater harvesting simulation in houses: An assessment using Bayesian Network. Resources, Conservation and Recycling, 144, 1-12.
"rainwater"