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 <doi:10.31234/>.

Getting started

Package details

AuthorAngelos-Miltiadis Krypotos [aut, cre, cph]
MaintainerAngelos-Miltiadis Krypotos <>
Package repositoryView on CRAN
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multifear documentation built on June 2, 2021, 1:07 a.m.