Package: fddm
Type: Package
Title: Fast Implementation of the Diffusion Decision Model
Version: 0.1-1
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")))
Description: 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. 
License: GPL (>= 2)
Imports: Rcpp (>= 1.0.1)
LinkingTo: Rcpp
Depends: R (>= 3.5.0)
Suggests: rtdists, RWiener, ggplot2, reshape2, testthat, knitr,
        rmarkdown, microbenchmark, ggnewscale
SystemRequirements: C++11
RoxygenNote: 7.1.1
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2020-07-08 14:14:38 UTC; singm
Author: Kendal B. Foster [aut],
  Henrik Singmann [ctb, cre] (<https://orcid.org/0000-0002-4842-3657>)
Maintainer: Henrik Singmann <singmann@gmail.com>
Repository: CRAN
Date/Publication: 2020-07-10 08:40:05 UTC
Built: R 4.1.0; x86_64-w64-mingw32; 2020-08-03 03:58:40 UTC; windows
Archs: i386, x64
