Nothing
# Top-down approaches only for hts
TdGsA <- function(fcasts, bts, topts) {
# Top-down forecasts based on the average historical proportions. (Gross-Sohl
# method A)
div <- apply(bts, 2, function(x) x/topts)
prop <- colMeans(div, na.rm = TRUE)
out <- fcasts %*% prop
return(out)
}
TdGsF <- function(fcasts, bts, topts) {
# Top-down forecasts based on the proportions of the historical averages (
# Gross-Sohl method F)
numerator <- colSums(bts, na.rm = TRUE)
denominator <- sum(topts, na.rm = TRUE)
prop <- numerator/denominator
out <- fcasts %*% prop
return(out)
}
TdFp <- function(fcasts, nodes) {
# Top-down forecasts using forecast proportions
levels <- cumsum(Mnodes(nodes))
# Split fcasts to a list
l.levels <- length(levels)
flist <- lapply(2L:l.levels, function(x) {
fcasts[, seq(levels[x - 1L] + 1L, levels[x])]
})
flist <- c(list(fcasts[, 1L]), flist)
if (is.vector(flist[[2L]])) { # In case of h = 1
new.flist <- vector(length = l.levels - 1L, mode = "list")
for (j in 1L:(l.levels - 1L)) {
repcount <- rep(1:length(nodes[[j]]), nodes[[j]])
new.flist[[j]] <- rowsum(flist[[j + 1L]], repcount)
}
# Calculate proportions
prop <- c(flist[[2L]]) / c(new.flist[[1L]])
if (l.levels > 2L) {
for (k in 2L:(l.levels - 1L)) {
prop <- rep(prop, nodes[[k]])
newprop <- rep(new.flist[[k]], nodes[[k]])
prop <- prop * flist[[k + 1L]]/newprop
}
}
out <- t(fcasts[, 1L] * prop)
} else {
# Create the sum of the h-step-ahead base forecasts at l level above node j
new.flist <- vector(length = l.levels - 1L, mode = "list")
for (j in 1L:(l.levels - 1L)) {
repcount <- rep(1:length(nodes[[j]]), nodes[[j]])
new.flist[[j]] <- t(apply(flist[[j + 1L]], 1,
function(x) rowsum(x, repcount)))
}
# Calculate proportions
prop <- apply(flist[[2L]], 2, function(x) x/new.flist[[1L]])
if (l.levels > 2L) {
for (k in 2L:(l.levels - 1L)) {
prop <- t(apply(prop, 1, function(x) rep(x, nodes[[k]])))
newprop <- t(apply(new.flist[[k]], 1, function(x) rep(x, nodes[[k]])))
prop <- prop * flist[[k + 1L]]/newprop
}
}
out <- fcasts[, 1L] * prop
}
return(out)
}
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.