MPTmultiverse: Multiverse Analysis of Multinomial Processing Tree Models

Statistical or cognitive modeling usually requires a number of more or less arbitrary choices creating one specific path through a 'garden of forking paths'. The multiverse approach (Steegen, Tuerlinckx, Gelman, & Vanpaemel, 2016, <doi:10.1177/1745691616658637>) offers a principled alternative in which results for all possible combinations of reasonable modeling choices are reported. MPTmultiverse performs a multiverse analysis for multinomial processing tree (MPT, Riefer & Batchelder, 1988, <doi:10.1037/0033-295X.95.3.318>) models combining maximum-likelihood/frequentist and Bayesian estimation approaches with different levels of pooling (i.e., data aggregation). For the frequentist approaches, no pooling (with and without parametric or nonparametric bootstrap) and complete pooling are implemented using MPTinR <>. For the Bayesian approaches, no pooling, complete pooling, and three different variants of partial pooling are implemented using TreeBUGS <>. The main function is fit_mpt() who performs the multiverse analysis in one call.

Version: 0.4-2
Depends: R (≥ 2.11.1)
Imports: parallel, magrittr, tidyr, dplyr, tibble, rlang, reshape2, ggplot2, MPTinR, TreeBUGS (≥ 1.4.4), runjags, coda, purrr, readr, limSolve, utils
Suggests: knitr, rmarkdown, testthat
Published: 2020-06-24
Author: Henrik Singmann ORCID iD [aut, cre], Daniel W. Heck [aut], Marius Barth ORCID iD [aut], Frederik Aust ORCID iD [ctb]
Maintainer: Henrik Singmann <singmann at>
License: GPL-2
NeedsCompilation: no
Materials: README NEWS
CRAN checks: MPTmultiverse results


Reference manual: MPTmultiverse.pdf
Vignettes: Overview of MPT Multiverse: An Example Application
Package source: MPTmultiverse_0.4-2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): not available, r-release (x86_64): MPTmultiverse_0.4-2.tgz, r-oldrel: MPTmultiverse_0.4-2.tgz
Old sources: MPTmultiverse archive


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