The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

ggdmcModel: Model Builders for 'ggdmc' Package

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>.

Version: 0.2.9.0
Depends: R (≥ 3.5.0)
Imports: Rcpp (≥ 1.0.7), methods
LinkingTo: Rcpp (≥ 1.0.7), RcppArmadillo (≥ 0.10.7.5.0), ggdmcHeaders
Published: 2025-07-19
DOI: 10.32614/CRAN.package.ggdmcModel
Author: Yi-Shin Lin [aut, cre]
Maintainer: Yi-Shin Lin <yishinlin001 at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/yxlin/ggdmcModel
NeedsCompilation: yes
Materials: README
CRAN checks: ggdmcModel results

Documentation:

Reference manual: ggdmcModel.html , ggdmcModel.pdf

Downloads:

Package source: ggdmcModel_0.2.9.0.tar.gz
Windows binaries: r-devel: ggdmcModel_0.2.9.0.zip, r-release: ggdmcModel_0.2.9.0.zip, r-oldrel: ggdmcModel_0.2.9.0.zip
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): ggdmcModel_0.2.9.0.tgz, r-oldrel (x86_64): ggdmcModel_0.2.9.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ggdmcModel to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.