An Introduction and Tutorial to Fitting (Time-Dependent) Diffusion Models with the R-Package dRiftDM
Valentin Koob,
Thomas Richter,
Rolf Ulrich
et al.
Abstract:Using mathematical models of human cognition has become an increasingly important and valuable research tool in many different fields of psychological research and neighboring areas. Widely used are drift diffusion models (DDMs) that can be used to predict probability density functions (PDFs) of binary choice reaction tasks. Often, the parameters of such a model are time-independent (i.e., they do not vary as a function of time within a trial). However, the more general case is that of time-dependent parameter… Show more
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