Fast Implementation of the Diffusion Decision Model
Provides the probability density function (PDF) of the diffusion decision
model (DDM; e.g., Ratcliff & McKoon, 2008, )
with across-trial variability in the drift rate.
Because the PDF of the DDM contains an infinite sum, it needs to be
approximated. 'fddm' implements all published approximations (Navarro & Fuss, 2009,
; Gondan, Blurton, & Kesselmeier, 2014,
) plus new approximations. All approximations
are implemented purely in 'C++' providing faster speed than existing packages.