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RegDDM: Generalized Linear Regression with DDM
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.
Getting started
Browse package contents
Package details |
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| Author | Zekai Jin [aut, cre] |
| Maintainer | Zekai Jin <Jin.Zekai@nyspi.columbia.edu> |
| License | GPL (>= 3) |
| Version | 1.0 |
| URL | https://github.com/biorabbit/RegDDM |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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