Nothing
pit.fitBMAnormal <-
function(fit, ensembleData, dates=NULL, ...)
{
#
# copyright 2006-present, University of Washington. All rights reserved.
# for terms of use, see the LICENSE file
#
weps <- 1.e-4
if (!is.null(dates)) warning("dates ignored")
ensembleData <- ensembleData[,matchEnsembleMembers(fit,ensembleData)]
M <- !dataNA(ensembleData,dates=FALSE)
if (!all(M)) ensembleData <- ensembleData[M,]
obs <- dataVerifObs(ensembleData)
nObs <- length(obs)
PIT <- numeric(nObs)
names(PIT) <- dataObsLabels(ensembleData)
obs <- dataVerifObs(ensembleData)
nForecasts <- ensembleSize(ensembleData)
ensembleData <- ensembleForecasts(ensembleData)
WEIGHTS <- fit$weights
if (!all(Wmiss <- is.na(WEIGHTS))) {
SD <- if (!is.null(dim(fit$sd))) {
fit$sd
}
else rep(fit$sd, nForecasts)
for (i in 1:nObs) {
f <- ensembleData[i,]
M <- is.na(f) | Wmiss
MEAN <- apply(rbind(1, f) * fit$biasCoefs, 2, sum)
W <- WEIGHTS
if (any(M)) {
W <- W + weps
W <- W[!M]/sum(W[!M])
}
PIT[i] <- cdfBMAnormal(obs[i], WEIGHTS = W,
MEAN = MEAN[!M], SD = SD[!M])
}
}
PIT
}
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