multiverse: 'Explorable Multiverse' Data Analysis and Reports

Implement 'multiverse' style analyses (Steegen S., Tuerlinckx F, Gelman A., Vanpaemal, W., 2016) <doi:10.1177/1745691616658637>, (Dragicevic P., Jansen Y., Sarma A., Kay M., Chevalier F., 2019) <doi:10.1145/3290605.3300295> 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.

Package overview README.md A discussion on branches in the multiverse Declaring conditions in the multiverse Example multiverse implementation: Effect of fertility on religiosity and political attitudes Example multiverse implementation: Female hurricanes are deadlier than male hurricanes Example multiverse implementation: Re-evaluating the efficiency of physical visualizations Execution of multiverse analysis --- Sequential and Parallel Extracting and Visualising the results of a multiverse analysis Using the multiverse in RMarkdown: Introduction to multiverse code chunks

Vignettes Man pages API and functions Files

Package details
Author	Abhraneel Sarma [aut, cre], Matthew Kay [aut], Michael Moon [ctb], Mark Miller [ctb], Alex Kale [ctb], Nathan Taback [ctb], Fanny Chevalier [ctb], Jessica Hullman [ctb], Pierre Dragicevic [ctb], Yvonne Jansen [ctb]
Maintainer	Abhraneel Sarma <abhraneel@u.northwestern.edu>
License	GPL (>= 3)
Version	0.6.1
URL	https://mucollective.github.io/multiverse/ https://github.com/mucollective/multiverse/
Package repository	View on CRAN
Installation	Install the latest version of this package by entering the following in R: `install.packages("multiverse")`