DMCfun - Diffusion Model of Conflict (DMC) in Reaction Time Tasks
DMC model simulation detailed in Ulrich, R., Schroeter,
H., Leuthold, H., & Birngruber, T. (2015). Automatic and
controlled stimulus processing in conflict tasks: Superimposed
diffusion processes and delta functions. Cognitive Psychology,
78, 148-174. Ulrich et al. (2015)
<doi:10.1016/j.cogpsych.2015.02.005>. Decision processes within
choice reaction-time (CRT) tasks are often modelled using
evidence accumulation models (EAMs), a variation of which is
the Diffusion Decision Model (DDM, for a review, see Ratcliff &
McKoon, 2008). Ulrich et al. (2015) introduced a Diffusion
Model for Conflict tasks (DMC). The DMC model combines common
features from within standard diffusion models with the
addition of superimposed controlled and automatic activation.
The DMC model is used to explain distributional reaction time
(and error rate) patterns in common behavioural conflict-like
tasks (e.g., Flanker task, Simon task). This R-package
implements the DMC model and provides functionality to fit the
model to observed data. Further details are provided in the
following paper: Mackenzie, I.G., & Dudschig, C. (2021).
DMCfun: An R package for fitting Diffusion Model of Conflict
(DMC) to reaction time and error rate data. Methods in
Psychology, 100074. <doi:10.1016/j.metip.2021.100074>.
