CRAN/E | DMCfun

DMCfun

Diffusion Model of Conflict (DMC) in Reaction Time Tasks

Installation

About

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.

github.com/igmmgi/DMCfun
CRAN.R-project.org/package=DMCfun
www.sciencedirect.com/science/article/pii/S259026012100031X

Key Metrics

Version 3.5.2
R ≥ 4.0.0
Published 2024-01-09 101 days ago
Needs compilation? yes
License MIT
License File
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Maintainer

Maintainer

Ian G. Mackenzie

ian.mackenzie@uni-tuebingen.de

Authors

Ian G. Mackenzie

cre / aut

Carolin Dudschig

aut

Material

README
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

DMCfun archive

Depends

R ≥ 4.0.0

Imports

DEoptim
Rcpp ≥ 0.12.16
dplyr ≥ 1.0.0
methods
parallel
pbapply
tidyr

Suggests

ggplot2
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LinkingTo

Rcpp
BH