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/> 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.

Version: 0.6.1
Depends: R (≥ 3.5.0), knitr (≥ 1.3.2)
Imports: dplyr (≥ 0.8.1), purrr (≥ 0.3.2), rlang (≥ 0.4.0), R6, methods, tidyr (≥ 1.0.0), tibble, magrittr, tidyselect, formatR, collections, evaluate, rstudioapi, berryFunctions, future.apply
Suggests: ggplot2 (≥ 3.0.0), testthat (≥ 2.1.0), highr, rmarkdown, covr, broom, boot, gganimate, gifski, forcats, stringr, cowplot, tidybayes, png, stringi, modelr, styler, future
Published: 2022-07-04
DOI: 10.32614/CRAN.package.multiverse
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 at>
License: GPL (≥ 3)
NeedsCompilation: no
Language: en-US
Citation: multiverse citation info
Materials: README NEWS
CRAN checks: multiverse results


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


Package source: multiverse_0.6.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): multiverse_0.6.1.tgz, r-oldrel (arm64): multiverse_0.6.1.tgz, r-release (x86_64): multiverse_0.6.1.tgz, r-oldrel (x86_64): multiverse_0.6.1.tgz
Old sources: multiverse archive

Reverse dependencies:

Reverse depends: mverse


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