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multifear

Multiverse Analyses for Conditioning Data

v0.1.5 · Jan 11, 2026 · GPL-3

Description

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.

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CRAN Check Status

14 OK
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Flavor Status
r-devel-linux-x86_64-debian-clang OK
r-devel-linux-x86_64-debian-gcc OK
r-devel-linux-x86_64-fedora-clang OK
r-devel-linux-x86_64-fedora-gcc OK
r-devel-macos-arm64 OK
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 OK
r-oldrel-macos-x86_64 OK
r-oldrel-windows-x86_64 OK
r-patched-linux-x86_64 OK
r-release-linux-x86_64 OK
r-release-macos-arm64 OK
r-release-macos-x86_64 OK
r-release-windows-x86_64 OK

Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Dependency Network

Dependencies Reverse dependencies dplyr purrr stringr reshape2 tibble ggplot2 effsize (>= 0.7.8) nlme BayesFactor bayestestR broom effectsize (>= 0.4.1) esc forestplot bootstrap (>= 2019.6) +5 more dependencies multifear

Version History

new 0.1.5 Mar 10, 2026
updated 0.1.5 ← 0.1.4 diff Jan 10, 2026
updated 0.1.4 ← 0.1.3 diff Jun 10, 2025
updated 0.1.3 ← 0.1.2 diff Sep 22, 2023
updated 0.1.2 ← 0.1.1 diff May 31, 2021
new 0.1.1 Apr 5, 2021