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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "ggdmcHeaders" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'ggdmcHeaders: ''C++'' Headers for ''ggdmc'' Package'
version: 0.2.9.1
doi: 10.32614/CRAN.package.ggdmcHeaders
abstract: A fast 'C++' implementation of the design-based, Diffusion Decision Model
  (DDM) and the Linear Ballistic Accumulation (LBA) model. It enables the user to
  optimise the choice response time model by connecting with the Differential Evolution
  Markov Chain Monte Carlo (DE-MCMC) sampler implemented in the 'ggdmc' package. The
  package fuses the hierarchical modelling, Bayesian inference, choice response time
  models and factorial designs, allowing users to build their own design-based models.
  For more information on the underlying models, see the works by Voss, Rothermund,
  and Voss (2004) <https://doi.org/10.3758/BF03196893>, Ratcliff and McKoon (2008)
  <https://doi.org/10.1162/neco.2008.12-06-420>, and Brown and Heathcote (2008) <https://doi.org/10.1016/j.cogpsych.2007.12.002>.
authors:
- family-names: Lin
  given-names: Yi-Shin
  email: yishinlin001@gmail.com
repository: https://yxlin.r-universe.dev
repository-code: https://github.com/yxlin/ggdmcHeaders
commit: fb5066ac7b76c07cbd6af9904c09facfee62d970
url: https://github.com/yxlin/ggdmcHeaders
date-released: '2025-06-27'
contact:
- family-names: Lin
  given-names: Yi-Shin
  email: yishinlin001@gmail.com