An implementation of Multi-Objective Decision Analysis algorithms

Machine Learning Finite State Machine Models from Data with Genetic Algorithms

Replication of simulations and results from Chapelle, O., & Li, L. (2011). An empirical evaluation of Thompson sampling. Advances in neural information processing systems, 2249-2257.

Scripts associated to the paper to be published

Yes/No as a service in R.

Data Mining Project: Classification of the Car Evaluation Dataset.

Analyses scripts used for Algermissen, J. & den Ouden, H. E. (2024). Pupil dilation reflects effortful action invigoration in overcoming aversive Pavlovian biases. Cognitive, Affective, & Behavioral Neuroscience

Personalised eczema treatment recommendations

Analyses scripts used for Algermissen, J. & den Ouden, H. E. (2023). Goal-directed recruitment of Pavlovian biases through selective visual attention. Journal of Experimental Psychology: General.

Application Web for Health Economics Decision Making

Analyses scripts used for Algermissen, J. & den Ouden, H. E. M. (2024). High stakes slow responding, but do not help overcome Pavlovian biases in humans. Learning & Memory.

Analytical tool to help the company decide whether the employee will stay or not

The RMCDA package is a comprehensive toolkit for Multi-Criteria Decision Analysis (MCDA), designed to facilitate the evaluation and ranking of alternatives based on multiple criteria. The package provides methods for implementing various MCDA techniques, including pairwise comparisons, partial-order analysis, and dominance-based decision rules.

dips: Decisions in Preference Systems

This repository contains the code for the paper "Infection Rate Models for COVID-19: Model Risk and Public Health News Sentiment Exposure Adjustments", by Ioannis Chalkiadakis, Kevin Hongxuan Yan, Gareth W. Peters, Pavel V. Shevchenko.

Code and data for an MSc project titled: Following the leader? Group movement in a socially living African ground squirrel

For files & code related to the EDI study ("Effort, Decision-making, and Interoception").

Repository for example Hierarchical Drift Diffusion Model (HDDM) code using JAGS in R. These scripts provide useful examples for using JAGS with R2jags, the JAGS Wiener module, mixture modeling in JAGS, and Bayesian diagnostics in R.

Monte Carlo simulations to support decision making

Balloon Analog Risk Task (PsychoPy) and data processing (R)