Multi-Criteria Decision Making Methods (MCDM)
An R implementation of Four Multi-Criteria Decision Making (MCDM) Methods: Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), ‘VIseKriterijumska Optimizacija I Kompromisno Resenje’ (VIKOR), both Multi-Objective Optimization by Ratio Analysis and Full Multiplicative Form (Multi-MOORA) and Weighted Aggregated Sum Product ASsessment (WASPAS). In addition, this package provides a MetaRanking function which combines the output of the previous methods.
Isotonic Proportional Hazards Model (isoph)
Nonparametric estimation of an isotonic covariate effect for Cox’s partial likelihood.
Tests for General Factorial Designs (GFD)
Implemented are the Wald-type statistic, a permuted version thereof as well as the ANOVA-type statistic for general factorial designs, even with non-normal error terms and/or heteroscedastic variances, for crossed designs with an arbitrary number of factors and nested designs with up to three factors.