The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
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[@]dogado.de.

ggdmcLikelihood: Likelihood Computation for 'ggdmc' Package

Efficient computation of likelihoods in design-based choice response time models, including the Decision Diffusion Model, is supported. The package enables rapid evaluation of likelihood functions for both single- and multi-subject models across trial-level data. It also offers fast initialisation of starting parameters for genetic sampling with many Markov chains, facilitating estimation in complex models typically found in experimental psychology and behavioural science. These optimisations help reduce computational overhead in large-scale model fitting tasks.

Version: 0.2.9.0
Depends: R (≥ 3.5.0)
Imports: Rcpp (≥ 1.0.7)
LinkingTo: Rcpp (≥ 1.0.7), RcppArmadillo (≥ 0.10.7.5.0), ggdmcHeaders
Suggests: testthat, ggdmcModel
Published: 2025-07-30
DOI: 10.32614/CRAN.package.ggdmcLikelihood
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/ggdmcLikelihood
NeedsCompilation: yes
Materials: README
CRAN checks: ggdmcLikelihood results

Documentation:

Reference manual: ggdmcLikelihood.html , ggdmcLikelihood.pdf

Downloads:

Package source: ggdmcLikelihood_0.2.9.0.tar.gz
Windows binaries: r-devel: ggdmcLikelihood_0.2.9.0.zip, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): ggdmcLikelihood_0.2.9.0.tgz, r-oldrel (arm64): ggdmcLikelihood_0.2.9.0.tgz, r-release (x86_64): ggdmcLikelihood_0.2.9.0.tgz, r-oldrel (x86_64): ggdmcLikelihood_0.2.9.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ggdmcLikelihood 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.
Health stats visible at Monitor.