Package: fddm Type: Package Title: Fast Implementation of the Diffusion Decision Model Version: 1.0-2 Authors@R: c(person(given="Kendal B.", family="Foster", role=c("aut")), person(given="Henrik", family="Singmann", role=c("ctb", "cre"), email="singmann@gmail.com", comment=c(ORCID="0000-0002-4842-3657")), person(given = "Achim", family = "Zeileis", role = "ctb", comment = "methods partially taken from betareg")) Description: 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, ) 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, ; Gondan, Blurton, & Kesselmeier, 2014, ; Blurton, Kesselmeier, & Gondan, 2017, ; Hartmann & Klauer, 2021, ) plus new approximations. All approximations are implemented purely in 'C++' providing faster speed than existing packages. License: GPL (>= 2) Imports: Rcpp (>= 1.0.1), stats, methods, Formula LinkingTo: Rcpp, RcppEigen Depends: R (>= 3.5.0) Suggests: rtdists, RWiener, ggplot2, reshape2, testthat, knitr, rmarkdown, microbenchmark, ggnewscale, ggforce, WienR, emmeans, estimability, lmtest, numDeriv URL: https://github.com/rtdists/fddm BugReports: https://github.com/rtdists/fddm/issues RoxygenNote: 7.3.1 Roxygen: list(markdown = TRUE) Encoding: UTF-8 VignetteBuilder: knitr Repository: https://rtdists.r-universe.dev Date/Publication: 2024-08-01 21:00:09 UTC RemoteUrl: https://github.com/rtdists/fddm RemoteRef: HEAD RemoteSha: 7780857f2e0d2a0607938eb2ce05dd1d1cd3b404 NeedsCompilation: yes Packaged: 2026-07-04 00:15:07 UTC; root Author: Kendal B. Foster [aut], Henrik Singmann [ctb, cre] (ORCID: ), Achim Zeileis [ctb] (methods partially taken from betareg) Maintainer: Henrik Singmann