Other packages > Find by keyword >

DMCfun  

Diffusion Model of Conflict (DMC) in Reaction Time Tasks
View on CRAN: Click here


Download and install DMCfun package within the R console
Install from CRAN:
install.packages("DMCfun")

Install from Github:
library("remotes")
install_github("cran/DMCfun")

Install by package version:
library("remotes")
install_version("DMCfun", "4.0.1")



Attach the package and use:
library("DMCfun")
Maintained by
Ian G. Mackenzie
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-07-01
Latest Update: 2024-09-16
Description:
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) . 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. .
How to cite:
Ian G. Mackenzie (2020). DMCfun: Diffusion Model of Conflict (DMC) in Reaction Time Tasks. R package version 4.0.1, https://cran.r-project.org/web/packages/DMCfun. Accessed 28 Oct. 2026.
Previous versions and publish date:
0.12.0 (2020-07-01 10:40), 0.12.1 (2020-07-02 09:30), 0.15.0 (2020-09-20 17:50), 1.1.0 (2020-11-25 13:10), 1.3.0 (2021-01-10 18:50), 2.0.0 (2021-09-20 16:30), 2.0.2 (2021-10-25 09:30), 3.5.2 (2024-01-09 16:00), 3.5.4 (2024-02-24 17:20), (2026-07-09 08:01)
Other packages that cited DMCfun R package
View DMCfun citation profile
Other R packages that DMCfun depends, imports, suggests or enhances
Complete documentation for DMCfun
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

msamp  
Estimate Sample Size to Detect Bacterial Contamination in a Product Lot
Estimates the sample size needed to detect microbial contamination in a lot with a user-specified d ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
ncdf4  
Interface to Unidata netCDF (Version 4 or Earlier) Format Data Files
Provides a high-level R interface to data files written using Unidata's netCDF library (version 4 or ...
Download / Learn more Package Citations See dependency  
cats  
Cohort Platform Trial Simulation
Cohort plAtform Trial Simulation whereby every cohort consists of two arms, control and experimenta ...
Download / Learn more Package Citations See dependency  
NPHazardRate  
Nonparametric Hazard Rate Estimation
Provides functions and examples for histogram, kernel (classical, variable bandwidth and transformat ...
Download / Learn more Package Citations See dependency  

29,218

R Packages

247,686

Dependencies

77,281

Author Associations

29,219

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA