dRiftDM-package: dRiftDM: Estimating (Time-Dependent) Drift Diffusion Models

In dRiftDM: Estimating (Time-Dependent) Drift Diffusion Models

dRiftDM: Estimating (Time-Dependent) Drift Diffusion Models

Description

Fit and explore Drift Diffusion Models (DDMs), a common tool in psychology for describing decision processes in simple tasks. It can handle both time-independent and time-dependent DDMs. You either choose prebuilt models or create your own, and the package takes care of model predictions and parameter estimation. Model predictions are derived via the numerical solutions provided by Richter, Ulrich, and Janczyk (2023, \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1016/j.jmp.2023.102756")}).

Author(s)

Maintainer: Valentin Koob [e-mail] [copyright holder]

Authors:

• Thomas Richter [copyright holder]

• Markus Janczyk

See Also

Useful links:

• https://github.com/bucky2177/dRiftDM

• https://bucky2177.github.io/dRiftDM/

• Report bugs at https://github.com/bucky2177/dRiftDM/issues

dRiftDM documentation built on April 3, 2025, 7:48 p.m.