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. Bakdash [aut], Laura R. Marusich [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 NeedsCompilation: no Materials: README NEWS CRAN checks: rmcorr results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=rmcorr to link to this page.
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