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: | 0.2.2 |
| Depends: | R (≥ 4.1.0) |
| Imports: | withr, parallel, DEoptim, dfoptim, Rcpp, Rdpack, progress, stats, lifecycle |
| LinkingTo: | Rcpp |
| Suggests: | testthat (≥ 3.0.0), cowsay, knitr, rmarkdown, DMCfun, truncnorm, vdiffr |
| Published: | 2025-03-04 |
| DOI: | 10.32614/CRAN.package.dRiftDM |
| Author: | Valentin Koob [cre, aut, cph], Thomas Richter [aut, cph], Markus Janczyk [aut] |
| 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 |
| Reference manual: | dRiftDM.pdf |
| Vignettes: |
How to Convert DMC's parameters (source, R code) How To Customize DDMs (source, R code) Introduction to dRiftDM (source, R code) |
| Package source: | dRiftDM_0.2.2.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-devel (arm64): dRiftDM_0.2.2.tgz, r-release (arm64): dRiftDM_0.2.2.tgz, r-oldrel (arm64): dRiftDM_0.2.2.tgz, r-devel (x86_64): dRiftDM_0.2.2.tgz, r-release (x86_64): dRiftDM_0.2.2.tgz, r-oldrel (x86_64): dRiftDM_0.2.2.tgz |
| Old sources: | dRiftDM archive |
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