correlation: Methods for Correlation Analysis

Lightweight package for computing different kinds of correlations, such as partial correlations, Bayesian correlations, multilevel correlations, polychoric correlations, biweight correlations, distance correlations and more. Part of the 'easystats' ecosystem. References: Makowski et al. (2020) <doi:10.21105/joss.02306>.

Version: 0.8.5
Depends: R (≥ 3.6)
Imports: bayestestR (≥ 0.13.2), datasets, datawizard (≥ 0.11.0), insight (≥ 0.20.0), parameters (≥ 0.21.7), stats
Suggests: BayesFactor, energy, ggplot2, ggraph, gt, Hmisc, knitr, lme4, MASS, mbend, polycor, poorman, ppcor, psych, rmarkdown, rmcorr, rstanarm, see (≥ 0.8.1), testthat (≥ 3.2.1), tidygraph, wdm, WRS2, openxlsx2
Published: 2024-06-16
Author: Dominique Makowski ORCID iD [aut, inv] (@Dom_Makowski), Brenton M. Wiernik ORCID iD [aut, cre] (@bmwiernik), Indrajeet Patil ORCID iD [aut] (@patilindrajeets), Daniel Lüdecke ORCID iD [aut] (@strengejacke), Mattan S. Ben-Shachar ORCID iD [aut] (@mattansb), Rémi Thériault ORCID iD [aut] (@rempsyc), Mark White [rev], Maximilian M. Rabe ORCID iD [rev]
Maintainer: Brenton M. Wiernik <brenton at wiernik.org>
BugReports: https://github.com/easystats/correlation/issues
License: MIT + file LICENSE
URL: https://easystats.github.io/correlation/
NeedsCompilation: no
Language: en-US
Citation: correlation citation info
Materials: README NEWS
CRAN checks: correlation results

Documentation:

Reference manual: correlation.pdf
Vignettes: Multilevel Correlations
Correlation Types

Downloads:

Package source: correlation_0.8.5.tar.gz
Windows binaries: r-devel: correlation_0.8.4.zip, r-release: correlation_0.8.4.zip, r-oldrel: correlation_0.8.4.zip
macOS binaries: r-release (arm64): correlation_0.8.4.tgz, r-oldrel (arm64): correlation_0.8.4.tgz, r-release (x86_64): correlation_0.8.4.tgz, r-oldrel (x86_64): correlation_0.8.4.tgz
Old sources: correlation archive

Reverse dependencies:

Reverse imports: easystats, ggstatsplot, multitool, popstudy, see, statsExpressions, TangledFeatures
Reverse suggests: effectsize, modelbased, modelsummary, performance, psycModel, rempsyc

Linking:

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