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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.

Versions across snapshots

VersionRepositoryFileSize
0.6.2 rolling linux/jammy R-4.5 multiverse_0.6.2.tar.gz 2.6 MiB
0.6.2 rolling linux/noble R-4.5 multiverse_0.6.2.tar.gz 2.6 MiB
0.6.2 rolling source/ R- multiverse_0.6.2.tar.gz 3.3 MiB
0.6.2 latest linux/jammy R-4.5 multiverse_0.6.2.tar.gz 2.6 MiB
0.6.2 latest linux/noble R-4.5 multiverse_0.6.2.tar.gz 2.6 MiB
0.6.2 latest source/ R- multiverse_0.6.2.tar.gz 3.3 MiB
0.6.2 2026-04-26 source/ R- multiverse_0.6.2.tar.gz 3.3 MiB
0.6.2 2026-04-23 source/ R- multiverse_0.6.2.tar.gz 3.3 MiB
0.6.2 2026-04-09 windows/windows R-4.5 multiverse_0.6.2.zip 2.7 MiB
0.6.2 2025-04-20 source/ R- multiverse_0.6.2.tar.gz 3.3 MiB

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