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ASR_Miller_Schwarz_M

MATLAB software for analysis of the ASR model.

Demos

  • Demo1: Fit ex-Gaussian version of ASR model.
  • Demo2: Compute predictions of ASR model for versions of the model with various distributions of process finishing times (i.e., not just exponential and normal).
  • Demo3: Another example of fitting the ex-Gaussian version of the ASR model, this time with Cupid routines.
  • Demo4: An example of fitting a non-exGaussian version of the ASR model. (WARNING: TAKES SEVERAL MINUTES)
  • Demo5: An example of fitting the exGaussian version of the ASR model to correct & error RTs. (WARNING: TAKES SEVERAL MINUTES)

NOTE: Demo2-Demo5 use the "Cupid" probability distribution objects available from https://github.com/milleratotago/Cupid. You must install Cupid before you can try any of these demos.

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