The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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>.
| Version: | 4.0.1 |
| Depends: | R (≥ 4.0.0) |
| Imports: | DEoptim, Rcpp (≥ 0.12.16), dplyr (≥ 1.0.0), methods, parallel, pbapply, tidyr |
| LinkingTo: | Rcpp, BH |
| Suggests: | ggplot2, scales, shiny, testthat |
| Published: | 2024-09-16 |
| DOI: | 10.32614/CRAN.package.DMCfun |
| Author: | Ian G. Mackenzie [cre, aut], Carolin Dudschig [aut] |
| Maintainer: | Ian G. Mackenzie <ian.mackenzie at uni-tuebingen.de> |
| License: | MIT + file LICENSE |
| URL: | https://github.com/igmmgi/DMCfun, https://CRAN.R-project.org/package=DMCfun, https://www.sciencedirect.com/science/article/pii/S259026012100031X |
| NeedsCompilation: | yes |
| Materials: | README |
| CRAN checks: | DMCfun results |
| Reference manual: | DMCfun.pdf |
| Package source: | DMCfun_4.0.1.tar.gz |
| Windows binaries: | r-devel: DMCfun_4.0.1.zip, r-release: DMCfun_4.0.1.zip, r-oldrel: DMCfun_4.0.1.zip |
| macOS binaries: | r-release (arm64): DMCfun_4.0.1.tgz, r-oldrel (arm64): DMCfun_4.0.1.tgz, r-release (x86_64): DMCfun_4.0.1.tgz, r-oldrel (x86_64): DMCfun_4.0.1.tgz |
| Old sources: | DMCfun archive |
Please use the canonical form https://CRAN.R-project.org/package=DMCfun to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.