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>. 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.
