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. Relies on the easystats ecosystem (Lüdecke, Waggoner & Makowski (2019) <doi:10.21105/joss.01412>).

Version: 0.5.0
Imports: datasets, stats, insight (≥ 0.11.0), bayestestR, parameters (≥ 0.10.0), effectsize
Suggests: BayesFactor, dplyr, energy, forcats, ggcorrplot, ggplot2, Hmisc, knitr, lme4, polycor, ppcor, psych, rmcorr, testthat, tidyr, rstanarm, rmarkdown, see, wdm, WRS2, spelling
Published: 2020-12-02
Author: Dominique Makowski ORCID iD [aut, cre], Daniel Lüdecke ORCID iD [aut], Mattan S. Ben-Shachar ORCID iD [ctb], Indrajeet Patil ORCID iD [ctb]
Maintainer: Dominique Makowski <dom.makowski at>
License: GPL-3
NeedsCompilation: no
Language: en-US
Citation: correlation citation info
Materials: README NEWS
CRAN checks: correlation results


Reference manual: correlation.pdf
Vignettes: Multilevel Correlations
Correlation Types
Package source: correlation_0.5.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: correlation_0.5.0.tgz, r-oldrel: correlation_0.5.0.tgz
Old sources: correlation archive

Reverse dependencies:

Reverse imports: statsExpressions
Reverse suggests: effectsize, performance, see


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