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  "Description": "A fast 'C++' implementation of the design-based, Diffusion\nDecision Model (DDM) and the Linear Ballistic Accumulation\n(LBA) model. It enables the user to optimise the choice\nresponse time model by connecting with the Differential\nEvolution Markov Chain Monte Carlo (DE-MCMC) sampler\nimplemented in the 'ggdmc' package. The package fuses the\nhierarchical modelling, Bayesian inference, choice response\ntime models and factorial designs, allowing users to build\ntheir own design-based models. For more information on the\nunderlying models, see the works by Voss, Rothermund, and Voss\n(2004) <doi:10.3758/BF03196893>, Ratcliff and McKoon (2008)\n<doi:10.1162/neco.2008.12-06-420>, and Brown and Heathcote\n(2008) <doi:10.1016/j.cogpsych.2007.12.002>.",
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