Package: multiverse 0.6.2
Abhraneel Sarma
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.
Authors:
multiverse_0.6.2.tar.gz
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multiverse_0.6.2.tgz(r-4.4-any)multiverse_0.6.2.tgz(r-4.3-any)
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multiverse_0.6.2.tgz(r-4.4-emscripten)multiverse_0.6.2.tgz(r-4.3-emscripten)
multiverse.pdf |multiverse.html✨
multiverse/json (API)
NEWS
# Install 'multiverse' in R: |
install.packages('multiverse', repos = c('https://mucollective.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/mucollective/multiverse/issues
- durante - Survey to study the effect of fertility on religiosity and political attitudes
- hurricane - Survey to study the effect of fertility on religiosity and political attitudes
- userlogs - Userlogs
- vis_correlation - Participants responses in the study by Harrison et al., "Ranking Visualizations of correlation according to Weber's law"
Last updated 1 months agofrom:8d0cd155f0. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 06 2024 |
R-4.5-win | OK | Nov 06 2024 |
R-4.5-linux | OK | Nov 06 2024 |
R-4.4-win | OK | Nov 06 2024 |
R-4.4-mac | OK | Nov 06 2024 |
R-4.3-win | OK | Nov 06 2024 |
R-4.3-mac | OK | Nov 06 2024 |
Exports:codeconditionsexecute_multiverseexecute_universeexpandexport_code_jsonexport_data_jsonexport_results_dist_jsonexport_results_jsonextract_variable_from_universeextract_variablesinsideis_multiverseis.multiversemultiverseparameterssizestyle_multiverse_code
Dependencies:abindberryFunctionsbitbit64clicliprcodetoolscollectionscpp11crayondigestdistributionaldplyrevaluatefansiformatRfurrrfuturegenericsglobalsgluehighrhmsjsonliteknitrlifecyclelistenvmagrittrnumDerivparallellypillarpkgconfigprettyunitsprogresspurrrR.cacheR.methodsS3R.ooR.utilsR6readrrlangrprojrootrstudioapistringistringrstylertibbletidyrtidyselecttzdbutf8vctrsvroomwithrxfunyaml
A discussion on branches in the multiverse
Rendered frombranch.Rmd
usingknitr::rmarkdown
on Nov 06 2024.Last update: 2024-07-29
Started: 2019-10-08
Declaring conditions in the multiverse
Rendered fromconditions.Rmd
usingknitr::rmarkdown
on Nov 06 2024.Last update: 2024-07-29
Started: 2021-06-14
Example multiverse implementation: Effect of fertility on religiosity and political attitudes
Rendered fromexample-durante.Rmd
usingknitr::rmarkdown
on Nov 06 2024.Last update: 2024-09-18
Started: 2024-09-18
Example multiverse implementation: Female hurricanes are deadlier than male hurricanes
Rendered fromexample-hurricane.Rmd
usingknitr::rmarkdown
on Nov 06 2024.Last update: 2024-09-18
Started: 2024-09-18
Example multiverse implementation: Re-evaluating the efficiency of physical visualizations
Rendered fromexample-frequentist.Rmd
usingknitr::rmarkdown
on Nov 06 2024.Last update: 2024-09-19
Started: 2024-09-18
Example multiverse implementation: Recreating Adding inferential treatments to plots using Resampling and Animations using multiverse
Rendered fromexample-dance.Rmd
usingknitr::rmarkdown
on Nov 06 2024.Last update: 2024-09-18
Started: 2024-09-18
Execution of multiverse analysis --- Sequential and Parallel
Rendered fromexecution-multiverse.Rmd
usingknitr::rmarkdown
on Nov 06 2024.Last update: 2024-09-19
Started: 2022-05-19
Extracting and Visualising the results of a multiverse analysis
Rendered fromvisualising-multiverse.Rmd
usingknitr::rmarkdown
on Nov 06 2024.Last update: 2024-07-29
Started: 2021-06-14
Using the multiverse in RMarkdown: Introduction to multiverse code chunks
Rendered frommultiverse-in-rmd.Rmd
usingknitr::rmarkdown
on Nov 06 2024.Last update: 2024-07-29
Started: 2020-10-28