multiverse0.6.2 package

Create 'multiverse analysis' in R

accessors

Accessing contents of the multiverse object

branch

Define multiple analysis paths for a step in the multiverse

conditionals

Define constraints for combinations of analysis paths in the multivers...

execute

Execute parts of, or the entire multiverse

export_json

Exporting results from a multiverse analysis to JSON

extract_variables

Extract variables and objects from the multiverse

get_code

Code corresponding to a single analysis

inside

Pass code into the multiverse

mulitiverse_code_block

Create custom code blocks for multiverse analysis

multiverse-package

'Explorable Multiverse' Data Analysis and Reports in R

multiverse

Create a new multiverse object

parse_multiverse

Parse the multiverse syntax to identify branches

print

Accessing contents of the multiverse object

stylise_code

Stylises the code of multiverse for printing

Download source packageRead PDF manual

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.

  • Maintainer: Abhraneel Sarma
  • License: GPL (>= 3)
  • Last published: 2024-10-07

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