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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 the web documentation <https://lmarusich.github.io/rmcorr/index.html> and the original paper: Bakdash and Marusich (2017) <doi:10.3389/fpsyg.2017.00456>.

Version: 0.6.0
Depends: R (≥ 4.1.0)
Imports: stats, grDevices, graphics, psych, RColorBrewer
Suggests: knitr, rmarkdown, plotrix, ggplot2, lme4, merTools, pwr, AICcmodavg, pals, testthat (≥ 3.0.0), vdiffr, corrplot, cocor, covr, ggExtra, gglm
Published: 2023-08-09
Author: Jonathan Z. Bakdash ORCID iD [aut], Laura R. Marusich ORCID iD [aut, cre]
Maintainer: Laura R. Marusich <lmarusich at gmail.com>
BugReports: https://github.com/lmarusich/rmcorr/issues
License: GPL-2
URL: https://github.com/lmarusich/rmcorr, https://lmarusich.github.io/rmcorr/
NeedsCompilation: no
Materials: README NEWS
CRAN checks: rmcorr results

Documentation:

Reference manual: rmcorr.pdf
Vignettes: Confidence Interval Fix
Frequently Asked Questions and Limitations
Reproduce Paper Results
Comparing Correlations
rmcorr Estimates with NaN
Diagnostic Plots
Bootstrapping Example
Correlation Matrix using rmcorr_mat

Downloads:

Package source: rmcorr_0.6.0.tar.gz
Windows binaries: r-devel: rmcorr_0.6.0.zip, r-release: rmcorr_0.6.0.zip, r-oldrel: rmcorr_0.6.0.zip
macOS binaries: r-release (arm64): rmcorr_0.6.0.tgz, r-oldrel (arm64): rmcorr_0.6.0.tgz, r-release (x86_64): rmcorr_0.6.0.tgz, r-oldrel (x86_64): rmcorr_0.6.0.tgz
Old sources: rmcorr archive

Reverse dependencies:

Reverse suggests: correlation, LMMstar

Linking:

Please use the canonical form https://CRAN.R-project.org/package=rmcorr to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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