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# Filename: print.summary.mosaSTRS.R
#
# Date: 14.07.2025; Updated: 21.08.2025
# Author: Felix Willems
# Contact: mail.willemsf+MOSAlloc@gmail.com
# (mail[DOT]willemsf+MOSAlloc[AT]gmail[DOT]com)
# Licensing: GPL-3.0-or-later
#
# Please report any bugs or unexpected behavior to
# mail.willemsf+MOSAlloc@gmail.com
# (mail[DOT]willemsf+MOSAlloc[AT]gmail[DOT]com)
#
#---------------------------------------------------------------------------
#' @title Print a summary.mosaSTRS object
#'
#' @description Print-function for class \code{summary.mosaSTRS}.
#'
#' @param x an object inheriting from class \code{summary.mosaSTRS},
#' representing the results of the function \code{mosallocSTRS()}
#'
#' @param ... some methods for this generic require additional arguments.
#' None are used in this method.
#'
#' @method print summary.mosaSTRS
#'
#' @return Invisibly returns \code{x}.
#'
#' @export
print.summary.mosaSTRS <- function(x, ...) {
# get method name
if (x$method == "WSS") {
method_name <- "WSS (Weighted Sum Scalarization)"
}
if (x$method == "WCM") {
method_name <- "WCM (Weighted Chebyshev Minimization)"
}
# print summary
cat(paste0("\n-------------------------------------",
"-------------------------------------\n",
" Summary of a ",
"mosaSTRS object ",
"\n-------------------------------------",
"-------------------------------------\n"))
cat(" Sense of optimization: ", x$sense, "\n",
"Method used : ", method_name, "\n")
cat("\n To see the problem matrices and vectors, type:",
paste0(x$vname, "$problem_components"), "\n")
cat("\n Objectives and preference weighting:\n")
print(x$objout)
cat("\n Precision constraints:\n")
print(x$precision)
cat("\n Cost constraints:\n")
print(x$cost)
cat("\n The corresponding optimal sample sizes are:\n")
print(x$n_opt)
cat(paste0("-------------------------------------",
"-------------------------------------\n"))
invisible(x)
}
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