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MPTmultiverse
View on CRAN: Click
here
Download and install MPTmultiverse package within the R console
Install from CRAN:
install.packages("MPTmultiverse")
Install from Github:
library("remotes")
install_github("cran/MPTmultiverse") Install by package version:
library("remotes")
install_version("MPTmultiverse", "0.4-3") Attach the package and use:
library("MPTmultiverse")
Maintained by
Henrik Singmann
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-11-19
Latest Update:
Description:
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,
) 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, ) 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.
How to cite:
Henrik Singmann (2018). MPTmultiverse: Multiverse Analysis of Multinomial Processing Tree Models. R package version 0.4-3, https://cran.r-project.org/web/packages/MPTmultiverse. Accessed 05 Jun. 2026.
Previous versions and publish date:
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Other R packages that MPTmultiverse depends,
imports, suggests or enhances
Complete documentation for MPTmultiverse
Functions, R codes and Examples using
the MPTmultiverse R package
Some associated functions: check_results . fit_mpt . get_info . get_pb_output . mpt_options . plot.multiverseMPT . write_results .
Some associated R codes: check_results.R . fit_mpt.R . get_eqn_categories.R . get_info.R . make_results_row.R . mpt_options.R . mptinr.R . onload.R . plot_multiverseMPT.R . prep_data_fitting.R . treebugs.R . write_results.R . Full MPTmultiverse package functions and examples
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