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  "Description": "Provides functions for computing the density,\ndistribution, and random generation of the Decision Diffusion\nmodel (DDM), a widely used cognitive model for analysing choice\nand response time data. The package allows model specification,\nincluding the ability to fix, constrain, or vary parameters\nacross experimental conditions. While it does not include a\nbuilt-in optimiser, it supports likelihood evaluation and can\nbe integrated with external tools for parameter estimation.\nFunctions for simulating synthetic datasets are also provided.\nThis package is intended for researchers modelling speeded\ndecision-making in behavioural and cognitive experiments. For\nmore information, see Voss, Rothermund, and Voss (2004)\n<doi:10.3758/BF03196893>, Voss and Voss (2007)\n<doi:10.3758/BF03192967>, and Ratcliff and McKoon (2008)\n<doi:10.1162/neco.2008.12-06-420>.",
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