rmcorr: Repeated Measures Correlation
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: |
0.5.2 |
Depends: |
R (≥ 4.1.0) |
Imports: |
stats, grDevices, graphics, psych, RColorBrewer |
Suggests: |
knitr, rmarkdown, plotrix, ggplot2, lme4, merTools, pwr, AICcmodavg, pals, testthat (≥ 3.0.0), corrplot, cocor |
Published: |
2022-08-25 |
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,
https://lmarusich.github.io/rmcorr/ |
NeedsCompilation: |
no |
Materials: |
README NEWS |
CRAN checks: |
rmcorr results |
Documentation:
Downloads:
Reverse dependencies:
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