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# Description of this R script:
# R interface rotine for testing a sgl objective
#
# Intended for use with R.
# Copyright (C) 2014 Martin Vincent
#
# 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 Test a sgl-Objective
#' @description
#' This function will run tests on the gradient and hessian functions implemented in a C++ objective module.
#' Detected problems will be printed to the console.'
#'
#' @param module_name reference to objective specific C++ routines.
#' @param PACKAGE name of the calling package.
#' @param data a list of data objects -- will be parsed to the specified module.
#' @param parameterGrouping grouping of parameters, a vector of length \eqn{p}. Each element of the vector specifying the group of the parameters in the corresponding column of \eqn{\beta}.
#' @param groupWeights the group weights, a vector of length \code{length(unique(parameterGrouping))} (the number of groups).
#' @param parameterWeights a matrix of size \eqn{q \times p}.
#' @param algorithm.config the algorithm configuration to be used.
#' @return The number of found problems
#' @author Martin Vincent
#' @export
#' @useDynLib sglOptim, .registration=TRUE
#' @importFrom utils packageVersion
#' @import Matrix
sgl_test <- function(
module_name,
PACKAGE,
data,
parameterGrouping,
groupWeights,
parameterWeights,
algorithm.config = sgl.standard.config) {
alpha <- 1
args <- prepare.args(
data = data,
parameterGrouping = parameterGrouping,
groupWeights = groupWeights,
parameterWeights = parameterWeights,
alpha = alpha
)
call_sym <- get(paste(module_name, "sgl_test", "R", sep="_"),
asNamespace(PACKAGE))
problems <- do.call(call_sym, args =
list(data = args$data,
block_dim = args$block_dim,
groupWeights = args$groupWeights,
parameterWeights = args$parameterWeights,
algorithm.config = algorithm.config)
)
return(problems)
}
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