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 |