The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
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 |
Package source: | rmcorr_0.7.0.tar.gz |
Windows binaries: | r-devel: rmcorr_0.7.0.zip, r-release: rmcorr_0.7.0.zip, r-oldrel: rmcorr_0.7.0.zip |
macOS binaries: | r-release (arm64): rmcorr_0.7.0.tgz, r-oldrel (arm64): rmcorr_0.7.0.tgz, r-release (x86_64): rmcorr_0.7.0.tgz, r-oldrel (x86_64): rmcorr_0.7.0.tgz |
Old sources: | rmcorr archive |
Reverse suggests: | correlation, LMMstar |
Please use the canonical form https://CRAN.R-project.org/package=rmcorr to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.