Diffusion Model of Conflict (DMC) in Reaction Time Tasks
addDataDF
addErrorBars: Add errorbars to plot.
calculateBinProbabilities
calculateCAF
calculateCostValueCS
calculateCostValueGS
calculateCostValueRMSE
calculateCostValueSPE
calculateDelta
createDF
dmcCombineObservedData
dmcCppR
dmcFit
dmcFitDE
dmcFitSubject
dmcFitSubjectDE
DMCfun: Diffusion Model of Conflict (DMC) in Reaction Time Tasks
dmcObservedData
dmcSim
dmcSimApp
dmcSims: Run multiple dmc simulations
errDist
mean.dmcfit
plot.dmcfit_subject: Plot observed + fitted data
plot.dmcfit: Plot observed + fitted data
plot.dmcfits_subject: Plot observed + fitted data
plot.dmcfits: Plot observed + fitted data
plot.dmclist: Plot delta plots from multiple dmc simulations.
plot.dmcob: Plot observed data
plot.dmcobs: Plot combined observed data
plot.dmcsim: Plot dmc simulation
rtDist
summary.dmcfit_subject: dmcfit individual subject
summary.dmcfit: dmc fit aggregate summary
summary.dmcfits_subject: dmc fit aggregate summary
summary.dmcfits: dmc fit aggregate summary (2+ data sets)
summary.dmcsim: dmc simulation summary
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>.
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