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 details

AuthorAbhraneel Sarma [aut, cre], Michael Moon [aut], Matthew Kay [aut], Alex Kale [ctb], Nathan Taback [ctb], Fanny Chevalier [ctb], Jessica Hullman [ctb], Pierre Dragicevic [ctb], Yvonne Jansen [ctb]
MaintainerAbhraneel Sarma <abhraneel@u.northwestern.edu>
LicenseGPL (>= 3)
Version0.5.0
URL https://mucollective.github.io/multiverse/ https://github.com/mucollective/multiverse/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("multiverse")

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multiverse documentation built on June 1, 2021, 9:07 a.m.