Package: mcdabench Type: Package Title: Benchmarking for Multi-Criteria Decision Analysis Version: 1.1.1 Date: 2026-4-15 Authors@R: c(person("Cagatay", "Cebeci", email = "cebecicagatay@gmail.com", role = c("aut", "cre"))) Author: Cagatay Cebeci [aut, cre] Maintainer: Cagatay Cebeci Description: Performs and benchmarks various Multi-Criteria Decision Analysis (MCDA) methods. The methods are designed to evaluate and rank alternatives based on multiple criteria, applying various normalization, weighting, and aggregation algorithms. The MCDA methods includes ARAS, AROMAN, COCOSO, CODAS, COPRAS, EDAS, ELECTRE family (I-IV), FUCA, GRA, MABAC, MAIRCA, MARCOS, MAUT, MAVT, MEGAN, MOORA, OCRA, ORETES, PROMETHEE family (I - VI), RAM, ROV, SMART, TOPSIS, VIKOR, WASPAS, WPM, WSM and others, facilitating flexible and efficient analyses for multi-criteria problems. Constructs the common comparison measures such as Spearman rank correlations, Salabun-Urbaniak weight similarities (WS), index of agreement, Wilcoxon rank sum test, Jensen-Shannon Divergence based permutation tests and entropy differences based bootstrap tests for pairwise comparisons in addition to various sensitivity and stability analyses. The weight sensitivity analysis is made using either gradual and random weight modification method, and this is builti-in step with MEGAN method. Depends: R (>= 4.5.0) License: GPL (>= 2) LazyData: true Imports: factoextra, ggplot2, gplots, igraph, monochromeR, networkD3 Suggests: knitr, rmarkdown VignetteBuilder: knitr Config/pak/sysreqs: cmake libfreetype6-dev libglpk-dev make libicu-dev libjpeg-dev libpng-dev libuv1-dev libxml2-dev libssl-dev zlib1g-dev Repository: https://cagataycebeci.r-universe.dev Date/Publication: 2026-04-29 17:06:38 UTC RemoteUrl: https://github.com/cagataycebeci/mcdabench RemoteRef: HEAD RemoteSha: 86d71551a476b40e953424f3610960e1457afc05 NeedsCompilation: no Packaged: 2026-07-12 06:20:28 UTC; root