multifear
Multiverse Analyses for Conditioning Data
A suite of functions for performing analyses, based on a multiverse approach, for conditioning data. Specifically, given the appropriate data, the functions are able to perform t-tests, analyses of variance, and mixed models for the provided data and return summary statistics and plots. The function is also able to return for all those tests p-values, confidence intervals, and Bayes factors. The methods are described in Lonsdorf, Gerlicher, Klingelhofer-Jens, & Krypotos (2022) doi:10.1016/j.brat.2022.104072.
- Version0.1.3
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- multifear citation info
- Last release09/23/2023
Documentation
Team
Angelos-Miltiadis Krypotos
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- Imports16 packages
- Suggests12 packages