Multiverse Analyses for Conditioning Data
bt_test_mf
chop_cs
chop_css
combine_cs
exclusion_criteria
forestplot_mf
inference_cs
inference_plot
mixed_mf
multiverse_cs
rm_anova_mf
rm_banova_mf
t_test_mf
universe_cs
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>. Since November 2025, this package contains code from the 'ez' R package (Copyright (c) 2016-11-01, Michael A. Lawrence <[email protected]>), originally distributed under the 'GPL' (equal and above 2) license.