#' Prediction conciliation by ...n.
#'
#' Uses a simple L2 projection to reconciliate hierarchical time
#' series forecasts.
#'
#' @param preds_indiv : K-length vector with predictions ybar_1,...,ybar_K for individual regions
#' @param pred_total : number with prediction ybar_* for the total consumption
#' @return A vector with the reconciliated predictions for the
#' individuals and the total.
#' @references Hydman et al. (xxx)
#' @examples
#' K <- 5
#' hts(preds_indiv = rep(0, K), 1)
hts <- function(preds_indiv, pred_total) {
K <- length(preds_indiv)
fcasts <- matrix(c(pred_total, preds_indiv), ncol = K + 1)
S <- rbind(rep(1, K), diag(K))
ycombined <- combinef(fcasts, S, return = 'bottomlevelonly')
return(c(ycombined[, 1:K], sum(ycombined[, 1:K])))
}
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.