Multiverse Analyses for Conditioning Data R package multifear version 0.1.5 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. Software Depends: R (>= 4.0.0) Imports: dplyr (>= 0.8.4), purrr (>= 0.3.3), stats, stringr, reshape2 (>= 1.4.3), tibble (>= 2.1.3), ggplot2 (>= 3.2.1), effsize (>= 0.7.8), nlme (>= 3.1.144), BayesFactor (>= 0.9.12.4.2), bayestestR (>= 0.10.0), broom (>= 0.5.5), effectsize (>= 0.4.1), esc (>= 0.5.1), forestplot (>= 1.10), bootstrap (>= 2019.6), fastDummies, rlang, plyr, maditr, car Suggests: gridExtra (>= 2.3), vctrs (>= 0.3.1), tidyselect (>= 1.0.0), tidyr (>= 1.0.2), ggraph (>= 2.0.1), testthat (>= 2.1.0), cowplot (>= 1.0.0), covr, spelling, knitr, rmarkdown Angelos-Miltiadis Krypotos <amkrypotos@gmail.com> Comprehensive R Archive Network (CRAN) Angelos-Miltiadis Krypotos [aut, cre, cph] GPL-3 2026-01-11 application/tgz https://CRAN.R-project.org/package=multifear doi:10.32614/CRAN.package.multifear en-US