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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.
Version: | 1.0-2 |
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 |
Published: | 2024-07-02 |
DOI: | 10.32614/CRAN.package.fddm |
Author: | Kendal B. Foster [aut],
Henrik Singmann |
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 |
Materials: | README NEWS |
CRAN checks: | fddm results |
Package source: | fddm_1.0-2.tar.gz |
Windows binaries: | r-devel: fddm_1.0-2.zip, r-release: fddm_1.0-2.zip, r-oldrel: fddm_1.0-2.zip |
macOS binaries: | r-release (arm64): fddm_1.0-2.tgz, r-oldrel (arm64): fddm_1.0-2.tgz, r-release (x86_64): fddm_1.0-2.tgz, r-oldrel (x86_64): fddm_1.0-2.tgz |
Old sources: | fddm archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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