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#' 2AFC For Continuous Observations And Continuous Forecasts
#'
#' Routine to calculate the Generalized Discrimination Score (aka
#' Two-Alternatives Forced Choice Score 2AFC) for the situation of continuous
#' observations and continuous forecasts
#'
#' This routine applies Eq.22 of Mason and Weigel (2009) to calculate the 2AFC.
#'
#' @param obsv vector with real-valued observations
#' @param fcst vector of same length as \emph{obsv} with real-valued forecasts
#' @return \item{ p.afc }{ Value of Generalized Discrimination (2AFC) Score }
#' @author Andreas Weigel, Federal Office of Meteorology and Climatology,
#' MeteoSwiss, Zurich, Switzerland
#' @seealso \code{\link{afc}}
#' @references S.J. Mason and A.P. Weigel, 2009. A generic verification
#' framework for administrative purposes. Mon. Wea. Rev., 137, 331-349
#' @keywords file
#' @examples
#'
#' #Forecasts and observations of Nino-3.4 index
#' #Load set of continuous observations and continuous forecasts
#' data(cnrm.nino34.cc)
#' obsv = cnrm.nino34.cc$obsv
#' fcst = cnrm.nino34.cc$fcst
#'
#' #Calculate skill score
#' afc.cc(obsv,fcst)
#'
#' @export afc.cc
afc.cc = function(obsv,fcst){
####################
# OBSV: CONTINUOUS #
# FCST: CONTINUOUS #
####################
# input variables:
# ----------------
# fcst - vector with real-valued forecasts
# obsv - vector with real-valued observations
#
# output variable:
# ----------------
# p.afc - 2AFC skill score as obtained from MW09 Eq. 22 after ranking
# Apply Eq. 22 in MW09
p.afc = 0.5*(1+stats::cor(fcst,obsv,method="kendall"))
type.flag = 1
return(p.afc)
}
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