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ddModel  

The Decision Diffusion Model
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ddModel", "0.2.9.0")



Attach the package and use:
library("ddModel")
Maintained by
Yi-Shin Lin
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-09-02
Latest Update: 2025-09-02
Description:
Provides functions for computing the density, distribution, and random generation of the Decision Diffusion model (DDM), a widely used cognitive model for analysing choice and response time data. The package allows model specification, including the ability to fix, constrain, or vary parameters across experimental conditions. While it does not include a built-in optimiser, it supports likelihood evaluation and can be integrated with external tools for parameter estimation. Functions for simulating synthetic datasets are also provided. This package is intended for researchers modelling speeded decision-making in behavioural and cognitive experiments. For more information, see Voss, Rothermund, and Voss (2004) <doi:10.3758/BF03196893>, Voss and Voss (2007) <doi:10.3758/BF03192967>, and Ratcliff and McKoon (2008) <doi:10.1162/neco.2008.12-06-420>.
How to cite:
Yi-Shin Lin (2025). ddModel: The Decision Diffusion Model. R package version 0.2.9.0, https://cran.r-project.org/web/packages/ddModel. Accessed 27 Jun. 2026.
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Complete documentation for ddModel
Functions, R codes and Examples using the ddModel R package
Full ddModel package functions and examples
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