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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.
| Citation | multiverse citation info |
| mucollective.github.io/multiverse/ | |
| github.com/mucollective/multiverse/ | |
| Bug report | File report |
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