R/permaBN.R

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

#' permaBN Bayesian Network
#'
#'
#' PermaBN: A Bayesian Network framework to help predict permafrost thaw in the Arctic.
#' @usage NULL
#'
#' @format
#' A discrete Bayesian network to simulate permafrost thaw in the continuous permafrost region of the Arctic. The probabilities were given within the referenced paper. The vertices are:
#' \describe{
#' \item{ActiveLayerIceContent}{(Low, Medium, High);}
#' \item{AirTemperature}{(Low, Medium, High);}
#' \item{Aspect}{(North, East, South, West);}
#' \item{Insulation}{(Low, Medium, High);}
#' \item{Rain}{(Low, Medium, High);}
#' \item{Season}{(Snow free, Snow);}
#' \item{Snow}{(Low, Medium, High);}
#' \item{SnowDepth}{(None, Low, Medium, High);}
#' \item{SoilDensity}{(Low, Medium, High);}
#' \item{SoilMoisture}{(Low, Medium, High);}
#' \item{SoilTemperature}{(Low, Medium, High);}
#' \item{SoilWaterInput}{(Low, Medium, High);}
#' \item{ThawDepth}{(Low, Medium, High);}
#' \item{VegetationHeight}{(Low, Medium, High);}
#'  }
#'
#' @return An object of class \code{bn.fit}. Refer to the documentation of \code{bnlearn} for details.
#' @keywords NULL
#' @importClassesFrom bnlearn bn.fit
#' @references Beall, K., Loisel, J., & Medina-Cetina, Z. (2022). PermaBN: A Bayesian Network framework to help predict permafrost thaw in the Arctic. Ecological Informatics, 69, 101601.
"permaBN"