Computational Clinical Science Laboratory

A toolkit for easily building and evaluating machine learning models.

Hierarchical Bayesian modeling of RLDM tasks, using R & Python

Code and data for reproducing key results in the paper "Utility of Machine-Learning Approaches to Identify Behavioral Markers for Substance Use Disorders: Impulsivity Dimensions as Predictors of Current Cocaine Dependence".

An unofficial Python package for Digitimer DS8R current stimulator.

Data and codes used for primary analyses in Haines et al. (2019, PLOS ONE) Using computer-vision and machine learning to automate facial coding of positive and negative affect intensity

Data, R, and Stan code to reproduce analyses and figures from Haines et al. (2020) in Clinical Psychological Science