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MPTmultiverse  

Multiverse Analysis of Multinomial Processing Tree Models
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", "0.4-2")



Attach the package and use:
library("MPTmultiverse")
Maintained by
Henrik Singmann
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-11-19
Latest Update: 2020-06-24
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 0.4-2, https://cran.r-project.org/web/packages/MPTmultiverse
Previous versions and publish date:
0.1 (2018-11-19 19:20), 0.2-0 (2019-03-12 00:52), 0.3-3 (2019-08-28 01:30), 0.4-0 (2020-03-28 02:20), 0.4-1 (2020-05-18 20:30)
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