decomp_news <- function(m, variable="gdp") {
# Return the decomposition of new information
decomp <- decomp_smoother(m)
# Index of variable of interest
variable_index <- which(colnames(m$SSM$y)==variable)
a <- decomp$a[m$nowcast$index, variable_index+1]
alphahat <- decomp$alphahat[m$nowcast$index, variable_index+1]
smoother_update <- decomp$smoother_update[variable_index+1,,m$nowcast$index]
scale_factor <- m$nowcast$pctiles[[variable_index]](0.5)/mean(alphahat)
# Return news decomposition of variable of interest
decomp_variable <- list()
decomp_variable$a <- mean(a)*scale_factor
decomp_variable$alphahat <- mean(alphahat)*scale_factor
decomp_variable$smoother_update <- apply(smoother_update,1,mean)*scale_factor
class(decomp_variable) <- "MFVAR.nowcast.news"
return(decomp_variable)
}
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