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 |