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  "Title": "Hierarchical Multinomial Processing Tree Modeling",
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  "Description": "User-friendly analysis of hierarchical multinomial\nprocessing tree (MPT) models that are often used in cognitive\npsychology. Implements the latent-trait MPT approach (Klauer,\n2010) <DOI:10.1007/s11336-009-9141-0> and the beta-MPT approach\n(Smith & Batchelder, 2010) <DOI:10.1016/j.jmp.2009.06.007> to\nmodel heterogeneity of participants. MPT models are\nconveniently specified by an .eqn-file as used by other MPT\nsoftware and data are provided by a .csv-file or directly in R.\nModels are either fitted by calling JAGS or by an MPT-tailored\nGibbs sampler in C++ (only for nonhierarchical and beta MPT\nmodels). Provides tests of heterogeneity and MPT-tailored\nsummaries and plotting functions. A detailed documentation is\navailable in Heck, Arnold, & Arnold (2018)\n<DOI:10.3758/s13428-017-0869-7> and a tutorial on MPT modeling\ncan be found in Schmidt, Erdfelder, & Heck (2023)\n<DOI:10.1037/met0000561>.",
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