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) as described in
Singmann et al. (2024, <doi:10.1037/bul0000434>). For the
frequentist approaches, no pooling (with and without parametric or nonparametric
bootstrap) and complete pooling are implemented using
MPTinR <https://cran.r-project.org/package=MPTinR>.
For the Bayesian approaches, no pooling, complete pooling, and three different
variants of partial pooling are implemented using
TreeBUGS <https://cran.r-project.org/package=TreeBUGS>. The main function is
fit_mpt() which performs the multiverse analysis in one call.
| Version: |
0.4-3 |
| Depends: |
R (≥ 4.0.0) |
| Imports: |
parallel, magrittr, tidyr, dplyr, tibble, rlang, reshape2, ggplot2, MASS, MPTinR, TreeBUGS (≥ 1.4.4), runjags, coda, purrr, readr, utils |
| Suggests: |
knitr, rmarkdown, testthat |
| Published: |
2026-02-16 |
| DOI: |
10.32614/CRAN.package.MPTmultiverse |
| Author: |
Henrik Singmann 
[aut, cre],
Daniel W. Heck [aut],
Marius Barth
[aut],
Frederik Aust
[ctb] |
| Maintainer: |
Henrik Singmann <singmann at gmail.com> |
| BugReports: |
https://github.com/mpt-network/MPTmultiverse/issues |
| License: |
GPL-2 |
| URL: |
https://github.com/mpt-network/MPTmultiverse |
| NeedsCompilation: |
no |
| Materials: |
README, NEWS |
| CRAN checks: |
MPTmultiverse results |
Documentation:
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