X-Git-Url: https://git.auder.net/?p=talweg.git;a=blobdiff_plain;f=pkg%2FR%2FForecaster.R;h=2efa9ba10c91e9fcdabee8e24cc194b396eb72a0;hp=cedb2b69130b9fb380e437bb36fe528b45a362ad;hb=102bcfda4afbb5cfee885cbee0f55545624168fd;hpb=c4c329f65e6e842917cdfbabff36fbca6a617d02

diff --git a/pkg/R/Forecaster.R b/pkg/R/Forecaster.R
index cedb2b6..2efa9ba 100644
--- a/pkg/R/Forecaster.R
+++ b/pkg/R/Forecaster.R
@@ -1,27 +1,44 @@
 #' Forecaster
 #'
-#' Forecaster (abstract class, implemented by all forecasters)
+#' Forecaster (abstract class, implemented by all forecasters).
 #'
-#' @docType class
-#' @importFrom R6 R6Class
+#' A Forecaster object encapsulates parameters (which can be of various kinds, for
+#' example "Neighbors" method stores informations about the considered neighborhood for
+#' the current prediction task) and one main function: \code{predictSerie()}. This last
+#' function (by default) calls \code{predictShape()} to get a forecast of a centered
+#' serie, and then calls the "jump prediction" function -- see "field" section -- to
+#' adjust it based on the last observed values.
 #'
-#' @field .params List of computed parameters, for post-run analysis (dev)
-#' @field .pjump Function: how to predict the jump at day interface ?
+#' @field .params List of computed parameters (if applicable).
+#' @field .pjump Function: how to predict the jump at day interface? The arguments of
+#'   this function are -- in this order:
+#'   \itemize{
+#'     \item data : object output of \code{getData()},
+#'     \item today : index (integer or date) of the last known day in data,
+#'     \item memory : number of days to use in the past (including today),
+#'     \item horizon : number of time steps to predict,
+#'     \item params : optimized parameters in the main method \code{predictShape()},
+#'     \item ... : additional arguments.
+#'   }
+#'   .pjump returns an estimation of the jump after the last observed value.
 #'
 #' @section Methods:
 #' \describe{
 #' \item{\code{initialize(data, pjump)}}{
 #'   Initialize a Forecaster object with a Data object and a jump prediction function.}
 #' \item{\code{predictSerie(today,memory,horizon,...)}}{
-#'   Predict a new serie of \code{horizon} values at day index \code{today}
-#'   using \code{memory} days in the past.}
+#'   Predict a new serie of \code{horizon} values at day index \code{today} using
+#'   \code{memory} days in the past.}
 #' \item{\code{predictShape(today,memory,horizon,...)}}{
-#'   Predict a new shape of \code{horizon} values at day index \code{today}
-#'   using \code{memory} days in the past.}
+#'   Predict a new shape of \code{horizon} values at day index \code{today} using
+#'   \code{memory} days in the past.}
 #' \item{\code{getParameters()}}{
 #'   Return (internal) parameters.}
 #' }
 #'
+#' @docType class
+#' @format R6 class
+#'
 Forecaster = R6::R6Class("Forecaster",
 	private = list(
 		.params = list(),