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dRiftDM  

Estimating (Time-Dependent) Drift Diffusion Models
View on CRAN: Click here


Download and install dRiftDM package within the R console
Install from CRAN:
install.packages("dRiftDM")

Install from Github:
library("remotes")
install_github("cran/dRiftDM")

Install by package version:
library("remotes")
install_version("dRiftDM", "0.3.1")



Attach the package and use:
library("dRiftDM")
Maintained by
Valentin Koob
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-01-08
Latest Update: 2025-03-04
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>).
How to cite:
Valentin Koob (2025). dRiftDM: Estimating (Time-Dependent) Drift Diffusion Models. R package version 0.3.1, https://cran.r-project.org/web/packages/dRiftDM. Accessed 26 Jun. 2026.
Previous versions and publish date:
0.2.1 (2025-01-08 17:30), 0.2.2 (2025-03-04 11:10), 0.3.1 (2025-12-01 14:20)
Other packages that cited dRiftDM R package
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Complete documentation for dRiftDM
Functions, R codes and Examples using the dRiftDM R package
Full dRiftDM package functions and examples
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