# validation2D. Atomic functions calling several VALUE spatial validation routines
#
# Copyright (C) 2019 Santander Meteorology Group (http://www.meteo.unican.es)
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
#' @title VALUE spatial index calculation
#' @description (non-atomic) Function to compute spatial VALUE indices from series.
#' @param tsl List of time series vectors.
#' @param index.code A character index code to be computed.
#' @param dates A character (or \code{POSIXct}) vector following the format
#' \dQuote{YYYY-MM-DD} (i.e., \code{format = "\%Y-\%m-\%d"} as in
#' \code{\link{strptime}}). Note that the dates are not required
#' by all indices, so the default is \code{NULL}. The function will yield an
#' error if dates are required but not supplied.
#' @param parallel Use parallel computation.
#' @param max.ncores Maximum number of cores for parallel computing.
#' @param ncores Number of threads for parallel computation. Default to ncores - 1.
#' @return index.code matrix
#' @author M. N. Legasa
#' @export
valueIndex2D <- function(tsl, index.code, dates = NULL,
parallel = FALSE, max.ncores = 16, ncores = NULL){
arg.list <- list()
arg.list[["tsl"]] <- tsl
fun.list <- parseArgumentString(arg.list,
code = index.code,
dates = dates)
if ("parallel" %in%
formalArgs(eval(parse(text = paste0("VALUE:::", fun.list$fun))))){
fun.list$arg.list[["parallel"]] <- parallel
fun.list$arg.list[["max.ncores"]] <- max.ncores
fun.list$arg.list[["ncores"]] <- ncores
}
out <- do.call(fun.list$fun, fun.list$arg.list)
return(out)
}
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