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mverse: Tidy Multiverse Analysis Made Simple

Extends 'multiverse' package (Sarma A., Kale A., Moon M., Taback N., Chevalier F., Hullman J., Kay M., 2021) <doi:10.31219/osf.io/yfbwm>, which allows users perform to create explorable multiverse analysis in R. This extension provides an additional level of abstraction to the 'multiverse' package with the aim of creating user friendly syntax to researchers, educators, and students in statistics. The 'mverse' syntax is designed to allow piping and takes hints from the 'tidyverse' grammar. The package allows users to define and inspect multiverse analysis using familiar syntax in R.

Version: 0.1.0
Depends: R (≥ 3.6), multiverse
Imports: magrittr (≥ 1.5), rlang, dplyr, tidyr, tidyselect, stringr, stats, broom, grDevices, igraph, ggraph, ggplot2, cowplot
Suggests: tidyverse, scales, MASS, testthat (≥ 2.1.0), pkgdown (≥ 1.5.1), covr, knitr, rmarkdown, kableExtra
Published: 2022-05-23
Author: Michael Jongho Moon [aut, cre], Haoda Li [aut], Mingwei Xu [aut], Nathan Taback [aut], Fanny Chevalier [aut], Alison Gibbs [ctb]
Maintainer: Michael Jongho Moon <michael.moon at mail.utoronto.ca>
License: GPL (≥ 3)
URL: https://github.com/mverseanalysis/mverse/, https://mverseanalysis.github.io/mverse/
NeedsCompilation: no
Materials: NEWS
CRAN checks: mverse results

Documentation:

Reference manual: mverse.pdf
Vignettes: Getting started with mverse
GLM Modelling with mverse
Basic Regressions with mverse

Downloads:

Package source: mverse_0.1.0.tar.gz
Windows binaries: r-devel: mverse_0.1.0.zip, r-release: mverse_0.1.0.zip, r-oldrel: mverse_0.1.0.zip
macOS binaries: r-release (arm64): mverse_0.1.0.tgz, r-oldrel (arm64): mverse_0.1.0.tgz, r-release (x86_64): mverse_0.1.0.tgz, r-oldrel (x86_64): mverse_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=mverse to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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