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TreeBUGS  

Hierarchical Multinomial Processing Tree Modeling
View on CRAN: Click here


Download and install TreeBUGS package within the R console
Install from CRAN:
install.packages("TreeBUGS")

Install from Github:
library("remotes")
install_github("cran/TreeBUGS")

Install by package version:
library("remotes")
install_version("TreeBUGS", "1.5.0")



Attach the package and use:
library("TreeBUGS")
Maintained by
Daniel W. Heck
[Scholar Profile | Author Map]
First Published: 2016-09-02
Latest Update: 2023-05-21
Description:
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 (2022) <doi:10.31234/osf.io/gh8md>.
How to cite:
Daniel W. Heck (2016). TreeBUGS: Hierarchical Multinomial Processing Tree Modeling. R package version 1.5.0, https://cran.r-project.org/web/packages/TreeBUGS. Accessed 10 Apr. 2025.
Previous versions and publish date:
0.6.1 (2016-09-02 23:33), 0.6.3 (2016-09-15 15:46), 1.0.1 (2016-12-28 16:43), 1.1.0 (2017-04-01 17:40), 1.1.1 (2017-08-23 19:01), 1.2.0 (2018-01-19 19:23), 1.3.0 (2018-02-05 16:41), 1.3.1 (2018-02-23 10:40), 1.4.0 (2018-05-15 14:18), 1.4.1 (2018-12-18 18:10), 1.4.3 (2019-04-04 11:00), 1.4.4 (2019-12-05 10:20), 1.4.5 (2020-05-31 06:20), 1.4.7 (2021-01-08 11:30), 1.4.8 (2022-08-23 12:40), 1.4.9 (2022-09-06 23:10)
Other packages that cited TreeBUGS R package
View TreeBUGS citation profile
Other R packages that TreeBUGS depends, imports, suggests or enhances
Complete documentation for TreeBUGS
Functions, R codes and Examples using the TreeBUGS R package
Some associated functions: BayesFactorMPT . BayesFactorSlope . PPP . TreeBUGS-package . WAIC . arnold2013 . betaMPT . betaMPTcpp . betweenSubjectMPT . correlationPosterior . extendMPT . genBetaMPT . genMPT . genTraitMPT . getGroupMeans . getParam . getSamples . marginalMPT . plot . plotDistribution . plotFit . plotFreq . plotParam . plotPrior . plotPriorPost . posteriorPredictive . priorPredictive . probitInverse . readEQN . simpleMPT . summarizeMCMC . summarizeMPT . testHetChi . testHetPerm . traitMPT . transformedParameters . withinSubjectEQN . 
Some associated R codes: BF_Rao_Blackwell.R . BF_auxiliary.R . BF_likelihoods.R . BF_marginalMPT.R . BFslope.R . CollectionOfInputProcessingFunctions.R . PPP.R . RcppExports.R . T1perGroup.R . TreeBUGS-package.R . WAIC.R . arnold2013.R . betweenSubjects.R . callingSampler.R . checkFunctions.R . corSamples.R . correlationBayes.R . correlationBayesMCMC.R . covCorrelationString.R . covDataRead.R . covFactor.R . covPredictorHandling.R . covariateHandling.R . extendMPT.R . fitBetaMPT.R . fitBetaMPTcpp.R . fitModel.R . fitModelCpp.R . fitSimpleMPT.R . fitTraitMPT.R . genDataBeta.R . genDataCheck.R . genDataMPT.R . genDataTrait.R . getGroupMeans.R . getParam.R . getSamples.R . makeModelDescription.R . parseEQN.R . parseRestrictions.R . plotConvergence.R . plotDistribution.R . plotFit.R . plotFrequencies.R . plotParameters.R . plotPrior.R . plotPriorPost.R . posteriorPredictive.R . printMPT.R . priorPredictive.R . probitInverse.R . readEQN.R . renameBUGSoutput.R . sampleHyperprior.R . summarizeMCMC.R . summarizeMPT.R . testHetChi.R . testHetPerm.R . thetaHandling.R . transformedParModelfile.R . transformedParPosthoc.R . within_subject_EQN.R . writeSummaryToFile.R .  Full TreeBUGS package functions and examples
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