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

rmcorr: Repeated Measures Correlation (original) (raw)

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: 0.7.0
Depends: R (≥ 4.1.0)
Imports: stats, grDevices, graphics, psych, RColorBrewer
Suggests: knitr, rmarkdown, ggplot2, plotrix, lme4, merTools, pwr, AICcmodavg, pals, testthat (≥ 3.0.0), vdiffr, corrplot, cocor, covr, ggExtra, gglm, dplyr, esc, patchwork
Published: 2024-07-26
DOI: 10.32614/CRAN.package.rmcorr
Author: Jonathan Z. BakdashORCID iD [aut], Laura R. Marusich ORCID iD [aut, cre]
Maintainer: Laura R. Marusich
BugReports: https://github.com/lmarusich/rmcorr/issues
License: GPL-2
URL: https://github.com/lmarusich/rmcorr
NeedsCompilation: no
Materials: README NEWS
CRAN checks: rmcorr results

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