Seneketh/StanDDM: Drift Diffusion Modelling with Stan

This R package contains a Multi-Level Bayesian fitting procedure for (Perceptual) Decision-Making Data and a collection of several Drift Diffusion Models, implemented in the probabilistic programming language Stan. A set of convenience functions for data simulation, model comparison and plotting are also supplied. The aim was to write and test "non-centered" parametrizations of Multi-Level Bayesian models which incorporate inter-trial variabilities and are able to process different amounts of data per subject. The package can be installed to use several utility functions (see below). Also includes random generation of parameters, data simulation and automated recovery for model testing.

install.packages("remotes")
remotes::install_github("Seneketh/StanDDM")