CRAN/E | MPTmultiverse

MPTmultiverse

Multiverse Analysis of Multinomial Processing Tree Models

Installation

About

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.

github.com/mpt-network/MPTmultiverse
Bug report File report

Key Metrics

Version 0.4-2
R ≥ 2.11.1
Published 2020-06-24 1374 days ago
Needs compilation? no
License GPL-2
CRAN checks MPTmultiverse results

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Maintainer

Maintainer

Henrik Singmann

singmann@gmail.com

Authors

Henrik Singmann

aut / cre

Daniel W. Heck

aut

Marius Barth

aut

Frederik Aust

ctb

Material

README
NEWS
Reference manual
Package source

Vignettes

Overview of MPT Multiverse: An Example Application

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

MPTmultiverse archive

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
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