fddm: Fast Implementation of the Diffusion Decision Model

Provides the probability density function (PDF) of the diffusion decision model (DDM; e.g., Ratcliff & McKoon, 2008, <doi:10.1162/neco.2008.12-06-420>) 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, <doi:10.1016/j.jmp.2009.02.003>; Gondan, Blurton, & Kesselmeier, 2014, <doi:10.1016/j.jmp.2014.05.002>) plus new approximations. All approximations are implemented purely in 'C++' providing faster speed than existing packages.

Package details

AuthorKendal B. Foster [aut], Henrik Singmann [ctb, cre] (<https://orcid.org/0000-0002-4842-3657>)
MaintainerHenrik Singmann <singmann@gmail.com>
LicenseGPL (>= 2)
URL https://github.com/rtdists/fddm
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the fddm package in your browser

Any scripts or data that you put into this service are public.

fddm documentation built on April 6, 2021, 9:07 a.m.