Fast Implementation of the Diffusion Decision Model R package fddm version 1.0-2 Provides the probability density function (PDF), cumulative distribution function (CDF), the first-order and second-order partial derivatives of the PDF, and a fitting function for 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, its partial derivatives, and the CDF of the DDM both contain an infinite sum, they need 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>; Blurton, Kesselmeier, & Gondan, 2017, <doi:10.1016/j.jmp.2016.11.003>; Hartmann & Klauer, 2021, <doi:10.1016/j.jmp.2021.102550>) plus new approximations. All approximations are implemented purely in 'C++' providing faster speed than existing packages. Software Depends: R (>= 3.5.0) Imports: Rcpp (>= 1.0.1), stats, methods, Formula LinkingTo: Rcpp, RcppEigen Suggests: rtdists, RWiener, ggplot2, reshape2, testthat, knitr, rmarkdown, microbenchmark, ggnewscale, ggforce, WienR, emmeans, estimability, lmtest, numDeriv Henrik Singmann <singmann@gmail.com> Comprehensive R Archive Network (CRAN) Kendal B. Foster [aut], Henrik Singmann [ctb, cre] (ORCID: <https://orcid.org/0000-0002-4842-3657>), Achim Zeileis [ctb] (methods partially taken from betareg) GPL (>= 2) 2024-07-02 application/tgz https://CRAN.R-project.org/package=fddm doi:10.32614/CRAN.package.fddm