Package: TreeBUGS 1.5.2

TreeBUGS: Hierarchical Multinomial Processing Tree Modeling

User-friendly analysis of hierarchical multinomial processing tree (MPT) models that are often used in cognitive psychology. Implements the latent-trait MPT approach (Klauer, 2010) <doi:10.1007/s11336-009-9141-0> and the beta-MPT approach (Smith & Batchelder, 2010) <doi:10.1016/j.jmp.2009.06.007> to model heterogeneity of participants. MPT models are conveniently specified by an .eqn-file as used by other MPT software and data are provided by a .csv-file or directly in R. Models are either fitted by calling JAGS or by an MPT-tailored Gibbs sampler in C++ (only for nonhierarchical and beta MPT models). Provides tests of heterogeneity and MPT-tailored summaries and plotting functions. A detailed documentation is available in Heck, Arnold, & Arnold (2018) <doi:10.3758/s13428-017-0869-7> and a tutorial on MPT modeling can be found in Schmidt, Erdfelder, & Heck (2023) <doi:10.1037/met0000561>.

Authors:Daniel W. Heck [aut, cre], Nina R. Arnold [aut, dtc], Denis Arnold [aut], Alexander Ly [ctb], Marius Barth [ctb]

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TreeBUGS.pdf |TreeBUGS.html✨
TreeBUGS/json (API)
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Bug tracker:https://github.com/danheck/treebugs/issues

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34 exports 12 stars 2.52 score 12 dependencies 1 dependents 3 mentions 53 scripts 550 downloads

Last updated 4 months agofrom:b3c0da9831. Checks:OK: 9. Indexed: yes.

Exports:BayesFactorMPTBayesFactorSlopebetaMPTbetaMPTcppbetweenSubjectMPTcorrelationPosteriorextendMPTgenBetaMPTgenMPTgenTraitMPTgetGroupMeansgetParamgetSamplesmarginalMPTplotDistributionplotFitplotFreqplotParamplotPriorplotPriorPostposteriorPredictivePPPpriorPredictiveprobitInversereadEQNsimpleMPTsummarizeMCMCsummarizeMPTtestHetChitestHetPermtraitMPTtransformedParametersWAICwithinSubjectEQN

Dependencies:codacontfracdeSolveelliptichypergeolatticelogsplineMASSRcppRcppArmadillorjagsrunjags