AngelosPsy/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

MaintainerAngelos-Miltiadis Krypotos <amkrypotos@gmail.com>
LicenseGPL-3
Version0.1.2
URL https://github.com/AngelosPsy/multifear
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("AngelosPsy/multifear")
AngelosPsy/multifear documentation built on Sept. 28, 2021, 5:45 a.m.