Reality Bending Lab › Publications › SequentialSamplingModels.jl: Simulating and Evaluating Cognitive Models of Response Times in Julia
SequentialSamplingModels.jl: Simulating and Evaluating Cognitive Models of Response Times in Julia
SequentialSamplingModels.jl brings the standard evidence-accumulation models of choice and response time — the drift diffusion model and its relatives — into Julia, with one interface for simulating from them and evaluating their likelihoods.

Cite
Fernandez, K., Makowski, D., & Fisher, C. (2025). SequentialSamplingModels.jl: Simulating and Evaluating Cognitive Models of Response Times in Julia. JuliaCon Proceedings. https://doi.org/10.21105/jcon.00186
See also
- The cogmod R Package: Easy-to-Use Bayesian Cognitive Models for Reaction Times, Choices and Subjective Ratings, with Applications to Computational Neuropsychology
- A Distributional Response Time Analysis of the Perceptual Disfluency Effect
- This Is Not the ex-Gaussian Model You Are Looking For: On the Default Parameterization of Bayesian ex-Gaussian Models in brms