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.

Version: 1.1.0
Depends: R (≥ 3.5.0)
Imports: DEoptim, Rcpp (≥ 0.12.16), dplyr (≥ 1.0.0), optimr, parallel, pbapply, tidyr
LinkingTo: Rcpp, BH
Suggests: testthat
Published: 2020-11-25
Author: Mackenzie G. Ian [cre, aut]
Maintainer: Mackenzie G. Ian <ian.mackenzie at>
License: MIT + file LICENSE
NeedsCompilation: yes
SystemRequirements: C++11
Materials: README
CRAN checks: DMCfun results


Reference manual: DMCfun.pdf
Package source: DMCfun_1.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: DMCfun_1.1.0.tgz, r-oldrel: DMCfun_1.1.0.tgz
Old sources: DMCfun archive


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