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ggdmcModel  

Model Builders for 'ggdmc' Package
View on CRAN: Click here


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

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

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



Attach the package and use:
library("ggdmcModel")
Maintained by
Yi-Shin Lin
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-07-19
Latest Update: 2025-07-19
Description:
A suite of tools for specifying and examining experimental designs related to choice response time models (e.g., the Diffusion Decision Model). This package allows users to define how experimental factors influence one or more model parameters using R-style formula syntax, while also checking the logical consistency of these associations. Additionally, it integrates with the 'ggdmc' package, which employs Differential Evolution Markov Chain Monte Carlo (DE-MCMC) sampling to optimise model parameters. For further details on the model-building approach, see Heathcote, Lin, Reynolds, Strickland, Gretton, and Matzke (2019) <doi:10.3758/s13428-018-1067-y>.
How to cite:
Yi-Shin Lin (2025). ggdmcModel: Model Builders for 'ggdmc' Package. R package version 0.2.9.0, https://cran.r-project.org/web/packages/ggdmcModel. Accessed 06 Jun. 2026.
Previous versions and publish date:
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Complete documentation for ggdmcModel
Functions, R codes and Examples using the ggdmcModel R package
Full ggdmcModel package functions and examples
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