Type: Package
Package: dRiftDM
Title: Estimating (Time-Dependent) Drift Diffusion Models
Version: 0.2.2
Authors@R: c(
    person("Valentin", "Koob", 
    email = "v.koob@web.de",
    role = c("cre", "aut", "cph")),
    person("Thomas", "Richter", role = c("aut",  "cph")),
    person("Markus", "Janczyk", role = "aut")
  )
License: MIT + file LICENSE
Description: Fit and explore Drift Diffusion Models (DDMs),
    a common tool in psychology for describing decision processes in simple
    tasks. It can handle both time-independent and time-dependent DDMs. You
    either choose prebuilt models or create your own, and the package takes
    care of model predictions and parameter estimation. Model predictions
    are derived via the numerical solutions provided by Richter, Ulrich, and
    Janczyk (2023, <doi:10.1016/j.jmp.2023.102756>).
Suggests: testthat (>= 3.0.0), cowsay, knitr, rmarkdown, DMCfun,
        truncnorm, vdiffr
Config/testthat/edition: 3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.2
Imports: withr, parallel, DEoptim, dfoptim, Rcpp, Rdpack, progress,
        stats, lifecycle
LinkingTo: Rcpp
Depends: R (>= 4.1.0)
VignetteBuilder: knitr
RdMacros: Rdpack
URL: https://github.com/bucky2177/dRiftDM,
        https://bucky2177.github.io/dRiftDM/
BugReports: https://github.com/bucky2177/dRiftDM/issues
NeedsCompilation: yes
Packaged: 2025-03-04 09:44:52 UTC; vkoob
Author: Valentin Koob [cre, aut, cph],
  Thomas Richter [aut, cph],
  Markus Janczyk [aut]
Maintainer: Valentin Koob <v.koob@web.de>
Repository: CRAN
Date/Publication: 2025-03-04 10:10:02 UTC
Built: R 4.6.0; x86_64-w64-mingw32; 2025-10-14 02:37:59 UTC; windows
Archs: x64
