CSMES R Package (version 1.0.1: 2023)	Cost-Sensitive Multi-Criteria Ensemble Selection for Uncertain Cost Conditions (De Bock et al., 2020).
LLM R Package (version 1.1.0: 2020)	Fits the Logit Leaf Model, makes predictions and visualizes the output. (De Caigny et al., 2018).
CustomerScoringMetrics R Package (version 1.0.0; 2018)	Combines a number of functions for evaluating and visualizing predictive model performance (specifically: binary classifiers) in the field of customer scoring.
GAMens R Package (version 1.2.1; 2018)	Training ensemble classifiers based on generalized additive models.