dRiftDM: Estimating (Time-Dependent) Drift Diffusion Models

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>).

Version:	0.2.1
Depends:	R (≥ 3.5.0)
Imports:	withr, parallel, DEoptim, dfoptim, Rcpp, Rdpack, progress, stats
LinkingTo:	Rcpp
Suggests:	testthat (≥ 3.0.0), cowsay, knitr, rmarkdown, DMCfun, truncnorm, vdiffr
Published:	2025-01-08
DOI:	10.32614/CRAN.package.dRiftDM
Author:	Valentin Koob [cre, aut, cph], Thomas Richter [aut, cph], Markus Janczyk [ctb]
Maintainer:	Valentin Koob <v.koob at web.de>
BugReports:	https://github.com/bucky2177/dRiftDM/issues
License:	MIT + file LICENSE
URL:	https://github.com/bucky2177/dRiftDM, https://bucky2177.github.io/dRiftDM/
NeedsCompilation:	yes
Citation:	dRiftDM citation info
Materials:	README NEWS
CRAN checks:	dRiftDM results

Documentation:

Reference manual:	dRiftDM.pdf
Vignettes:	use_ddm_models (source, R code)

Downloads:

Package source:	dRiftDM_0.2.1.tar.gz
Windows binaries:	r-devel: dRiftDM_0.2.1.zip, r-release: dRiftDM_0.2.1.zip, r-oldrel: dRiftDM_0.2.1.zip
macOS binaries:	r-release (arm64): dRiftDM_0.2.1.tgz, r-oldrel (arm64): dRiftDM_0.2.1.tgz, r-release (x86_64): dRiftDM_0.2.1.tgz, r-oldrel (x86_64): dRiftDM_0.2.1.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=dRiftDM to link to this page.