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RegDDM
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", "1.0")
Attach the package and use:
library("RegDDM")
Maintained by
Zekai Jin
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.RegDDM . https://github.com/biorabbit/RegDDM/issues . https://github.com/biorabbit/RegDDM . RegDDM results . RegDDM.pdf . RegDDM_1.0.tar.gz . RegDDM_1.0.zip . RegDDM_1.0.zip . RegDDM_1.0.zip . RegDDM_1.0.tgz . RegDDM_1.0.tgz . RegDDM_1.0.tgz . RegDDM_1.0.tgz . RegDDM_1.0.tgz . RegDDM_1.0.tgz . https://CRAN.R-project.org/package=RegDDM .
First Published: 2024-12-05
Latest Update: 2024-12-05
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 1.0, https://cran.r-project.org/web/packages/RegDDM. Accessed 17 Feb. 2025.
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