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#' algal Bayesian Networks
#'
#' Seasonal forecasting of lake water quality and algal bloom risk using a continuous Gaussian Bayesian networks.
#'
#' @usage NULL
#'
#' @format
#' A Gaussian Bayesian network to to forecast, in spring, mean total phosphorus and chlorophyll a concentration, mean water colour, and maximum cyanobacteria biovolume for the upcoming growing season (May–October) in Vansjø. Probabilities were given within the referenced paper. The vertices are:
#' \describe{
#' \item{ChiA}{Mean lake chl a concentration - Current;}
#' \item{ChiA_PS}{Mean lake chl a concentration - Previous;}
#' \item{Colour}{Mean lake colour;}
#' \item{Cyanobacteria}{Mean lake cyanobacterial biovolume;}
#' \item{RainSum}{Precipitation sum;}
#' \item{TP}{Mean lake TP concentration - Current;}
#' \item{TP_PS}{Mean lake TP concentration - Previous;}
#' \item{WindSpeed}{Mean daily mean wind speed;}
#' }
#'
#' @return An object of class \code{bn.fit}. Refer to the documentation of \code{bnlearn} for details.
#' @keywords GBN
#' @importClassesFrom bnlearn bn.fit
#' @references Jackson-Blake, L. A., Clayer, F., Haande, S., Sample, J. E., & Moe, S. J. (2022). Seasonal forecasting of lake water quality and algal bloom risk using a continuous Gaussian Bayesian network. Hydrology and Earth System Sciences, 26(12), 3103-3124.
#'
"algal2"
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