#' @importFrom "stats" "coef"
#' @rdname LRE-predict-Internal
EstLoadYS <- function(CQdat, Qdat, concY, modobj, samp.unit = samp.unit,
alpha1, alpha2, se = TRUE, Blocklen=5000){
# samp.unit = sampling unit the predicted flow is at
uY <- unique(CQdat$CQhat$Y)
loadest <- matrix(NA, nrow = length(uY), ncol = 6)
loadest <- data.frame(loadest)
names(loadest) <- c("Y", "Total_Flow_ML", "TLhat_Mt", "TLhatC_Mt", "SEload", "CV")
loadest.d <- NULL
for(i in 1:length(uY)){
cat("Year: ", uY[i], "\n")
CQhatY <- CQdat$CQhat[CQdat$CQhat$Y == uY[i],]
QdatY <- Qdat[Qdat$Y == uY[i],]
Xdesign <- as.matrix(CQdat$Xdesign[Qdat$Y == uY[i],])
if(length(modobj) == 2){
coef1 <- coef(modobj$gam)[pmatch("LQflow", names(coef(modobj)))]
if(length(coef1) == 1)
coef2 <- NA
else{
coef2 <- coef1[2]
coef1 <- coef1[1]
}
}
else
{
coef1 <- coef(modobj)[pmatch("LQflow", names(coef(modobj)))]
if(length(coef1) == 1)
coef2 <- NA
else{
coef2 <- coef1[2]
coef1 <- coef1[1]
}
}
if(is.na(coef1) & is.na(coef2))
beta1 <- 0 # no flow terms fitted
else if(is.na(coef2) & !is.na(coef1))
beta1 <- coef1
else
beta1 <- coef1 + 2 * coef2 * log(QdatY$pQ)
est <- EstLoad(CQdat = CQhatY, Qdat = QdatY, Xdesign = Xdesign,
W = CQdat$W, sig2 = CQdat$sig2, rho = CQdat$rho, alpha1 = alpha1,
alpha2 = alpha2, beta1 = beta1,
samp.unit = samp.unit, se = TRUE)
loadest[i,] <- est$est.annual
loadest.d <- rbind(loadest.d, est$est.daily)
}
names(loadest.d) <- c("Y", "Date", "DLhat_Mt", "DLhatC_Mt", "D_Flow_ML", "SEload", "CV")
# Add Y
loadest$Y <- uY
# Add number of recorded concentration samples
tabY <- table(concY)
ind <- match(names(tabY), as.vector(loadest$Y))
loadest$n <- 0
loadest$n[ind[!is.na(ind)]] <- tabY[!is.na(ind)]
list(loadest.annual = loadest, loadest.daily = loadest.d)
}
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