# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "ggdmcLikelihood" in publications use:' type: software license: GPL-2.0-or-later title: 'ggdmcLikelihood: Likelihood Computation for ''ggdmc'' Package' version: 0.2.9.0 doi: 10.32614/CRAN.package.ggdmcLikelihood abstract: 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. authors: - family-names: Lin given-names: Yi-Shin email: yishinlin001@gmail.com repository: https://yxlin.r-universe.dev repository-code: https://github.com/yxlin/ggdmcLikelihood commit: 53b6fd91c71324afb841bb739573e2c0ff1360c7 url: https://github.com/yxlin/ggdmcLikelihood date-released: '2025-07-28' contact: - family-names: Lin given-names: Yi-Shin email: yishinlin001@gmail.com