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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 <mike.lwrnc@gmail.com>), originally distributed under the 'GPL' (equal and above 2) license.

Versions across snapshots

VersionRepositoryFileSize
0.1.5 rolling linux/jammy R-4.5 multifear_0.1.5.tar.gz 533.6 KiB
0.1.5 rolling linux/noble R-4.5 multifear_0.1.5.tar.gz 533.5 KiB
0.1.5 rolling source/ R- multifear_0.1.5.tar.gz 1.9 MiB
0.1.5 latest linux/jammy R-4.5 multifear_0.1.5.tar.gz 533.6 KiB
0.1.5 latest linux/noble R-4.5 multifear_0.1.5.tar.gz 533.5 KiB
0.1.5 latest source/ R- multifear_0.1.5.tar.gz 1.9 MiB
0.1.5 2026-04-26 source/ R- multifear_0.1.5.tar.gz 1.9 MiB
0.1.5 2026-04-23 source/ R- multifear_0.1.5.tar.gz 1.9 MiB
0.1.5 2026-04-09 windows/windows R-4.5 multifear_0.1.5.zip 543.7 KiB
0.1.3 2025-04-20 source/ R- multifear_0.1.3.tar.gz 55.2 KiB

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