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 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() who performs the multiverse analysis in one call.
- Version0.4-2
- R version≥ 2.11.1
- LicenseGPL-2
- Needs compilation?No
- Last release06/24/2020
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Team
Henrik Singmann
MaintainerShow author detailsDaniel W. Heck
Show author detailsRolesAuthorFrederik Aust
Marius Barth
Show author detailsRolesAuthor
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- Imports14 packages
- Suggests3 packages