Nothing
quantileForecast.fitMOSlognormal <-
function(fit, ensembleData, quantiles = 0.5, dates = NULL, ...)
{
M <- matchEnsembleMembers(fit,ensembleData)
nForecasts <- ensembleSize(ensembleData)
if (!all(M == 1:nForecasts)) ensembleData <- ensembleData[,M]
## remove instances missing all forecasts or dates
M <- apply(ensembleForecasts(ensembleData), 1, function(z) all(is.na(z)))
ensembleData <- ensembleData[!M,]
nObs <- nrow(ensembleData)
if (!is.null(dates)) warning("dates ignored")
Quants <- matrix(NA, nObs, length(quantiles))
dimnames(Quants) <- list(ensembleObsLabels(ensembleData),as.character(quantiles))
Mu <- rep(NA,nObs)
Sig <- rep(NA,nObs)
ensembleData <- ensembleForecasts(ensembleData)
x <- c(fit$a,fit$B)
A <- cbind(rep(1,nObs),ensembleData)
S.sq <- apply(ensembleData,1,var)
Mval <- A%*%x
Vval <- rep(fit$c,nObs) + rep(fit$d,nObs)*S.sq
Mu <- log(Mval^2/sqrt(Vval + Mval^2)) #mean of normal
Sig <- sqrt(log(1 +Vval/Mval^2)) #std dev of normal
for(i in 1:length(quantiles)) Quants[,i] <- qlnorm(quantiles[i], Mu, Sig)
Quants
}
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