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.
Version: | 0.1-1 |
Depends: | R (≥ 3.5.0) |
Imports: | Rcpp (≥ 1.0.1) |
LinkingTo: | Rcpp |
Suggests: | rtdists, RWiener, ggplot2, reshape2, testthat, knitr, rmarkdown, microbenchmark, ggnewscale |
Published: | 2020-07-10 |
Author: | Kendal B. Foster [aut],
Henrik Singmann |
Maintainer: | Henrik Singmann <singmann at gmail.com> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | yes |
SystemRequirements: | C++11 |
Materials: | README |
CRAN checks: | fddm results |
Reference manual: | fddm.pdf |
Vignettes: |
Benchmark Testing Fitting Example Using dfddm Mathematical Description of Methods Validity of Methods |
Package source: | fddm_0.1-1.tar.gz |
Windows binaries: | r-devel: fddm_0.1-1.zip, r-release: fddm_0.1-1.zip, r-oldrel: fddm_0.1-1.zip |
macOS binaries: | r-release: fddm_0.1-1.tgz, r-oldrel: fddm_0.1-1.tgz |
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