rmcorr: Repeated Measures Correlation

Compute the repeated measures correlation, a statistical technique for determining the overall within-individual relationship among paired measures assessed on two or more occasions, first introduced by Bland and Altman (1995). Includes functions for diagnostics, p-value, effect size with confidence interval including optional bootstrapping, as well as graphing. Also includes several example datasets. For more details, see Bakdash and Marusich (2017) <doi:10.3389/fpsyg.2017.00456>.

Version: 0.4.6
Depends: R (≥ 3.2.1)
Imports: stats, grDevices, graphics, psych, RColorBrewer
Suggests: knitr, rmarkdown, plotrix, ggplot2, lme4, merTools, pwr, AICcmodavg, pals, testthat (≥ 3.0.0)
Published: 2022-05-02
Author: Jonathan Z. Bakdash, Laura R. Marusich
Maintainer: Laura R. Marusich <lmarusich at gmail.com>
License: GPL-2
NeedsCompilation: no
Materials: README NEWS
CRAN checks: rmcorr results


Reference manual: rmcorr.pdf
Vignettes: Reproduce the results of Repeated Measures Correlation paper


Package source: rmcorr_0.4.6.tar.gz
Windows binaries: r-devel: rmcorr_0.4.6.zip, r-release: rmcorr_0.4.6.zip, r-oldrel: rmcorr_0.4.6.zip
macOS binaries: r-release (arm64): rmcorr_0.4.6.tgz, r-oldrel (arm64): rmcorr_0.4.6.tgz, r-release (x86_64): rmcorr_0.4.6.tgz, r-oldrel (x86_64): rmcorr_0.4.6.tgz
Old sources: rmcorr archive

Reverse dependencies:

Reverse suggests: correlation


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