fddm: Fast Implementation of the Diffusion Decision Model

Provides the probability density function (PDF), cumulative distribution function (CDF), and the partial derivatives of the 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, 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.

Version: 0.5-2
Depends: R (≥ 3.5.0)
Imports: Rcpp (≥ 1.0.1)
LinkingTo: Rcpp
Suggests: rtdists, RWiener, ggplot2, reshape2, testthat, knitr, rmarkdown, microbenchmark, ggnewscale, ggforce, WienR
Published: 2022-09-09
DOI: 10.32614/CRAN.package.fddm
Author: Kendal B. Foster [aut], Henrik Singmann ORCID iD [ctb, cre]
Maintainer: Henrik Singmann <singmann at gmail.com>
BugReports: https://github.com/rtdists/fddm/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/rtdists/fddm
NeedsCompilation: yes
SystemRequirements: C++11
Materials: README NEWS
CRAN checks: fddm results


Reference manual: fddm.pdf
Vignettes: Benchmark Testing
Fitting Example Using dfddm
Mathematical Description of Methods
Description of Methods in pfddm
Validity of Methods


Package source: fddm_0.5-2.tar.gz
Windows binaries: r-devel: fddm_0.5-2.zip, r-release: fddm_0.5-2.zip, r-oldrel: fddm_0.5-2.zip
macOS binaries: r-release (arm64): fddm_0.5-2.tgz, r-oldrel (arm64): fddm_0.5-2.tgz, r-release (x86_64): fddm_0.5-2.tgz, r-oldrel (x86_64): fddm_0.5-2.tgz
Old sources: fddm archive


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