MUCollective/multidy: Multiverse: Create 'multiverse analysis' in R

Implement 'multiverse' style analyses (Steegen S., Tuerlinckx F, Gelman A., Vanpaemal, W., 2016) <doi:10.1177/1745691616658637> to show the robustness of statistical inference. 'Multiverse analysis' is a philosophy of statistical reporting where paper authors report the outcomes of many different statistical analyses in order to show how fragile or robust their findings are. The 'multiverse' package (Sarma A., Kale A., Moon M., Taback N., Chevalier F., Hullman J., Kay M., 2021) <doi:10.31219/osf.io/yfbwm> allows users to concisely and flexibly implement 'multiverse-style' analysis, which involve declaring alternate ways of performing an analysis step, in R and R Notebooks. Users can also create 'Explorable Multiverse Analysis Reports' (EMARs) (Dragicevic P., Jansen Y., Sarma A., Kay M., Chevalier F., 2019) <doi:10.1145/3290605.3300295>, a new approach to statistical reporting where readers of research papers can explore alternative analysis options by interacting with the paper itself.

Getting started

Package details

MaintainerAbhraneel Sarma <abhraneel@u.northwestern.edu>
LicenseGPL (>= 3)
Version0.6.2.1
URL https://mucollective.github.io/multiverse/ https://github.com/mucollective/multiverse/
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("MUCollective/multidy")
MUCollective/multidy documentation built on Jan. 27, 2024, 9:52 a.m.