Generalized Linear Regression with DDM R package RegDDM version 1.1 Drift-Diffusion Model (DDM) has been widely used to model binary decision-making tasks, and many research studies the relationship between DDM parameters and other characteristics of the subject. This package uses 'RStan' to perform generalized liner regression analysis over DDM parameters via a single Bayesian Hierarchical model. Compared to estimating DDM parameters followed by a separate regression model, 'RegDDM' reduces bias and improves statistical power. Software Depends: R (>= 3.5) Imports: rstan, stringr, dplyr, tidyr, purrr, rtdists, rlang, stats, Suggests: testthat (>= 3.0.0) Zekai Jin <Jin.Zekai@nyspi.columbia.edu> Comprehensive R Archive Network (CRAN) Zekai Jin [aut, cre] GPL (>= 3) 2025-07-01 application/tgz https://CRAN.R-project.org/package=RegDDM doi:10.32614/CRAN.package.RegDDM