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 |
Reference manual: | ggdmcModel.html , ggdmcModel.pdf |
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): ggdmcModel_0.2.9.0.tgz, r-oldrel (arm64): ggdmcModel_0.2.9.0.tgz, r-release (x86_64): ggdmcModel_0.2.9.0.tgz, r-oldrel (x86_64): ggdmcModel_0.2.9.0.tgz |
Reverse imports: | ddModel, lbaModel |
Reverse suggests: | ggdmcLikelihood, ggdmcPrior |
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