DMCfun: An R package for fitting Diffusion Model of Conflict (DMC) to reaction time and error rate data
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 et al., 2016). Ulrich et al. (2015) introduced a Diffusion Model for Conflict tasks (DMC). Th...
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doaj-5c3d375d2c7940928523acb9f599d77e2021-10-07T04:26:46ZengElsevierMethods in Psychology2590-26012021-12-015100074DMCfun: An R package for fitting Diffusion Model of Conflict (DMC) to reaction time and error rate dataIan G. Mackenzie0Carolin Dudschig1Corresponding author. University of Tübingen, Cognitive and Biological Psychology, Schleichstraße 4, 72076, Tübingen, Germany.; University of Tübingen, GermanyUniversity of Tübingen, GermanyDecision 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 et al., 2016). 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 can explain data behavioural patterns within common conflict-like tasks, where stimulus features include both a relevant and irrelevant source of information (e.g., Simon task). This paper introduces the R-package DMCfun, which implements the DMC model and provides functionality to fit the model to observed data. Furthermore, the package can be used to perform and illustrate distributional analyses on data from any conflict-like CRT task.http://www.sciencedirect.com/science/article/pii/S259026012100031XReaction timeConflict taskDiffusion model conflict (DMC)R package |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ian G. Mackenzie Carolin Dudschig |
spellingShingle |
Ian G. Mackenzie Carolin Dudschig DMCfun: An R package for fitting Diffusion Model of Conflict (DMC) to reaction time and error rate data Methods in Psychology Reaction time Conflict task Diffusion model conflict (DMC) R package |
author_facet |
Ian G. Mackenzie Carolin Dudschig |
author_sort |
Ian G. Mackenzie |
title |
DMCfun: An R package for fitting Diffusion Model of Conflict (DMC) to reaction time and error rate data |
title_short |
DMCfun: An R package for fitting Diffusion Model of Conflict (DMC) to reaction time and error rate data |
title_full |
DMCfun: An R package for fitting Diffusion Model of Conflict (DMC) to reaction time and error rate data |
title_fullStr |
DMCfun: An R package for fitting Diffusion Model of Conflict (DMC) to reaction time and error rate data |
title_full_unstemmed |
DMCfun: An R package for fitting Diffusion Model of Conflict (DMC) to reaction time and error rate data |
title_sort |
dmcfun: an r package for fitting diffusion model of conflict (dmc) to reaction time and error rate data |
publisher |
Elsevier |
series |
Methods in Psychology |
issn |
2590-2601 |
publishDate |
2021-12-01 |
description |
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 et al., 2016). 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 can explain data behavioural patterns within common conflict-like tasks, where stimulus features include both a relevant and irrelevant source of information (e.g., Simon task). This paper introduces the R-package DMCfun, which implements the DMC model and provides functionality to fit the model to observed data. Furthermore, the package can be used to perform and illustrate distributional analyses on data from any conflict-like CRT task. |
topic |
Reaction time Conflict task Diffusion model conflict (DMC) R package |
url |
http://www.sciencedirect.com/science/article/pii/S259026012100031X |
work_keys_str_mv |
AT iangmackenzie dmcfunanrpackageforfittingdiffusionmodelofconflictdmctoreactiontimeanderrorratedata AT carolindudschig dmcfunanrpackageforfittingdiffusionmodelofconflictdmctoreactiontimeanderrorratedata |
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1716839897721995264 |