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.

Version:	0.6.2
Depends:	R (≥ 3.5.0), knitr (≥ 1.3.2)
Imports:	dplyr (≥ 0.8.1), purrr (≥ 0.3.4), rlang (≥ 0.4.0), R6, methods, tidyr (≥ 1.0.0), tibble, magrittr, tidyselect, formatR, collections, evaluate, rstudioapi, berryFunctions, furrr, styler, distributional, jsonlite, readr
Suggests:	ggplot2 (≥ 3.0.0), testthat (≥ 3.0.0), highr, rmarkdown, covr, broom, boot, gganimate, gifski, forcats, stringr, cowplot, tidybayes, png, stringi, modelr, future
Published:	2024-10-07
DOI:	10.32614/CRAN.package.multiverse
Author:	Abhraneel Sarma [aut, cre], Matthew Kay [aut], Michael Moon [ctb], Mark Miller [ctb], Kyle Hwang [ctb], Hadley Wickham [ctb], Alex Kale [ctb], Nathan Taback [ctb], Fanny Chevalier [ctb], Jessica Hullman [ctb], Pierre Dragicevic [ctb], Yvonne Jansen [ctb]
Maintainer:	Abhraneel Sarma <abhraneel at u.northwestern.edu>
BugReports:	https://github.com/MUCollective/multiverse/issues/
License:	GPL (≥ 3)
URL:	https://mucollective.github.io/multiverse/, https://github.com/mucollective/multiverse/
NeedsCompilation:	no
Language:	en-US
Citation:	multiverse citation info
Materials:	README NEWS
CRAN checks:	multiverse results

Documentation:

Reference manual:

multiverse.pdf

Vignettes:

A discussion on branches in the multiverse (source, R code) Declaring conditions in the multiverse (source, R code) Example multiverse implementation: Recreating Adding inferential treatments to plots using Resampling and Animations using multiverse (source, R code) Example multiverse implementation: Effect of fertility on religiosity and political attitudes (source, R code) Example multiverse implementation: Re-evaluating the efficiency of physical visualizations (source, R code) Example multiverse implementation: Female hurricanes are deadlier than male hurricanes (source, R code) Execution of multiverse analysis — Sequential and Parallel (source, R code) Using the multiverse in RMarkdown: Introduction to multiverse code chunks (source, R code) Extracting and Visualising the results of a multiverse analysis (source, R code)

Downloads:

Package source:	multiverse_0.6.2.tar.gz
Windows binaries:	r-devel: multiverse_0.6.2.zip, r-release: multiverse_0.6.2.zip, r-oldrel: multiverse_0.6.2.zip
macOS binaries:	r-release (arm64): multiverse_0.6.2.tgz, r-oldrel (arm64): multiverse_0.6.2.tgz, r-release (x86_64): multiverse_0.6.2.tgz, r-oldrel (x86_64): multiverse_0.6.2.tgz
Old sources:	multiverse archive

Linking:

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