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 Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=dRiftDM to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4