X-Git-Url: https://git.auder.net/?a=blobdiff_plain;f=pkg%2FR%2FJ_Neighbors.R;h=5a818ca6f1963a77d801310746c3eddb40ad4a8a;hb=102bcfda4afbb5cfee885cbee0f55545624168fd;hp=03d334064a43f40d2d307e86e3f8b5c7e95cfafa;hpb=469529710f56c790ae932b45d13fed2e34bcabf2;p=talweg.git

diff --git a/pkg/R/J_Neighbors.R b/pkg/R/J_Neighbors.R
index 03d3340..5a818ca 100644
--- a/pkg/R/J_Neighbors.R
+++ b/pkg/R/J_Neighbors.R
@@ -1,18 +1,27 @@
-#' Obtain jump forecast by the Neighbors method
+#' getNeighborsJumpPredict
 #'
-#' @inheritParams getForecast
+#' Apply optimized weights on gaps observed on selected neighbors.
+#' This jump prediction method can only be used in conjunction with the Neighbors
+#' Forecaster, because it makes use of the optimized parameters to re-apply the weights
+#' on the jumps observed at days interfaces of the past neighbors.
+#'
+#' @inheritParams computeForecast
 #' @inheritParams getZeroJumpPredict
+#'
+#' @alias J_Neighbors
+#'
 getNeighborsJumpPredict = function(data, today, memory, horizon, params, ...)
 {
 	first_day = max(1, today-memory)
-	filter = params$indices >= first_day
+	filter = (params$indices >= first_day)
 	indices = params$indices[filter]
 	weights = params$weights[filter]
+
 	if (any(is.na(weights) | is.na(indices)))
 		return (NA)
 
 	gaps = sapply(indices, function(i) {
-		data$getSerie(i+1)[1] - tail(data$getSerie(i), 1)
+		head( data$getSerie(i+1), 1) - tail( data$getSerie(i), 1)
 	})
 	scal_product = weights * gaps
 	norm_fact = sum( weights[!is.na(scal_product)] )