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An R package for hierarchical Bayesian modeling of RLDM tasks.
hBayesDM workshop at Computational Psychiatry Course (CPC) 2018
A toolkit for easily building and evaluating machine learning models.
R codes used in Haines, Vassileva, & Ahn (2018; Cognitive Science) for developing a new Iowa Gambling Task model
Resources for the Deep Learning study (2017 Winter) with DeepLearningZeroToAll.
"Computational Modeling of Decision-Making Tasks With a Single Line of Coding: Modeling Can Be as Easy as Doing a T-Test"
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".