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:	0.4.5
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:	2021-12-01
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

Documentation:

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

Downloads:

Package source:	rmcorr_0.4.5.tar.gz
Windows binaries:	r-devel: rmcorr_0.4.5.zip, r-release: rmcorr_0.4.5.zip, r-oldrel: rmcorr_0.4.5.zip
macOS binaries:	r-release (arm64): rmcorr_0.4.5.tgz, r-oldrel (arm64): rmcorr_0.4.5.tgz, r-release (x86_64): rmcorr_0.4.5.tgz, r-oldrel (x86_64): rmcorr_0.4.5.tgz
Old sources:	rmcorr archive

Reverse dependencies:

Reverse suggests:

correlation

Linking:

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