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 <doi:10.31234/osf.io/2z6pd>.

Getting started

Package details

AuthorAngelos-Miltiadis Krypotos [aut, cre, cph]
MaintainerAngelos-Miltiadis Krypotos <amkrypotos@gmail.com>
LicenseGPL-3
Version0.1.2
URL https://github.com/AngelosPsy/multifear
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("multifear")

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multifear documentation built on June 2, 2021, 1:07 a.m.