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: 0.3.0
Imports: stats, insight (≥ 0.8.0), bayestestR (≥ 0.5.0), parameters (≥ 0.5.0), effectsize (≥ 0.2.0)
Suggests: BayesFactor, dplyr, energy, ggcorrplot, ggplot2, Hmisc, knitr, lme4, polycor, ppcor, psych, rmcorr, testthat, tidyr, covr, rstanarm, rmarkdown, see, WRS2
Published: 2020-06-19
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 gmail.com>
BugReports: https://github.com/easystats/correlation/issues
License: GPL-3
URL: https://easystats.github.io/correlation/
NeedsCompilation: no
Citation: correlation citation info
Materials: README NEWS
CRAN checks: correlation results

Downloads:

Reference manual: correlation.pdf
Package source: correlation_0.3.0.tar.gz
Windows binaries: r-devel: correlation_0.3.0.zip, r-release: correlation_0.3.0.zip, r-oldrel: correlation_0.3.0.zip
macOS binaries: r-release: correlation_0.3.0.tgz, r-oldrel: correlation_0.3.0.tgz
Old sources: correlation archive

Reverse dependencies:

Reverse imports: statsExpressions
Reverse suggests: effectsize, see

Linking:

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