CRAN/E | multiverse

multiverse

'Explorable Multiverse' Data Analysis and Reports

Installation

About

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

Key Metrics

Version 0.6.1
R ≥ 3.5.0
Published 2022-07-04 826 days ago
Needs compilation? no
License GPL (≥ 3)
CRAN checks multiverse results
Language en-US

Downloads

Yesterday 2 0%
Last 7 days 24 -58%
Last 30 days 189 -20%
Last 90 days 684 +1%
Last 365 days 2.796 -2%

Maintainer

Maintainer

Abhraneel Sarma

Authors

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

Material

README
NEWS
Reference manual
Package source

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

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

multiverse archive

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

Reverse Depends

mverse