RADD (Race Against Drift-Diffusion model) is a python package for fitting & simulating cognitive models of reinforcement learning and decision-making


License
BSD-3-Clause
Install
pip install RADD==0.5.5

Documentation

Race Against Drift Diffusion (RADD) model

Contributors: K. Dunovan, J. Huang, & T. Verstynen

This repository contains code and documentation for fitting various inhibitory control and decision models to behavioral data and is associated with the following manuscripts:

Install with pip

pip install --upgrade radd

Interactive Demos:

Click the "launch binder" button below to open up an interactive demo of radd in your browser (created using binder). Or view/download the demo notebooks here.

Binder