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RegDDM  

Generalized Linear Regression with DDM
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("RegDDM", "1.1")



Attach the package and use:
library("RegDDM")
Maintained by
Zekai Jin
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-12-05
Latest Update: 2025-07-01
Description:
Drift-Diffusion Model (DDM) has been widely used to model binary decision-making tasks, and many research studies the relationship between DDM parameters and other characteristics of the subject. This package uses 'RStan' to perform generalized liner regression analysis over DDM parameters via a single Bayesian Hierarchical model. Compared to estimating DDM parameters followed by a separate regression model, 'RegDDM' reduces bias and improves statistical power.
How to cite:
Zekai Jin (2024). RegDDM: Generalized Linear Regression with DDM. R package version 1.1, https://cran.r-project.org/web/packages/RegDDM. Accessed 21 Aug. 2026.
Previous versions and publish date:
(2026-07-09 08:23), 1.0 (2024-12-05 20:00)
Other packages that cited RegDDM R package
View RegDDM citation profile
Other R packages that RegDDM depends, imports, suggests or enhances
Complete documentation for RegDDM
Functions, R codes and Examples using the RegDDM R package
Full RegDDM package functions and examples
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