Repeated Measures Correlation R package rmcorr version 0.7.0 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>. Software 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 Laura R. Marusich <lmarusich@gmail.com> Comprehensive R Archive Network (CRAN) Jonathan Z. Bakdash [aut] (ORCID: <https://orcid.org/0000-0002-1409-4779>), Laura R. Marusich [aut, cre] (ORCID: <https://orcid.org/0000-0002-3524-6110>) GPL-2 2024-07-26 application/tgz https://CRAN.R-project.org/package=rmcorr doi:10.32614/CRAN.package.rmcorr