rmcorr-package

<img src="figures/logo.png?package=rmcorr&version=0.7.0" style="float: right" alt="logo" width="120">
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 <a href="https://lmarusich.github.io/rmcorr/index.html">https://lmarusich.github.io/rmcorr/index.html</a> and the original paper: Bakdash and Marusich (2017) tools:::Rd_expr_doi("10.3389/fpsyg.2017.00456").
tools:::Rd_package_description("rmcorr")

internal

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>.

Laura Marusich

rmcorr

Repeated Measures Correlation

Jonathan Z. Bakdash

Laura R. Marusich

rmcorr-package function

Maintainer: Laura R. Marusich <a href="/link/lmarusich%40gmail.com?package=rmcorr&version=0.7.0" data-mini-rdoc="rmcorr::lmarusich@gmail.com">lmarusich@gmail.com</a> (<a href="https://orcid.org/0000-0002-3524-6110">ORCID</a>)
Authors:<ul>
<li>Jonathan Z. Bakdash <a href="/link/jbakdash%40gmail.com?package=rmcorr&version=0.7.0" data-mini-rdoc="rmcorr::jbakdash@gmail.com">jbakdash@gmail.com</a> (<a href="https://orcid.org/0000-0002-1409-4779">ORCID</a>)</li>
</ul>

Author

<img src='figures/logo.png' style='float: right' alt='logo' width='120' />
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 <a href='https://lmarusich.github.io/rmcorr/index.html'>https://lmarusich.github.io/rmcorr/index.html</a> and the original paper: Bakdash and Marusich (2017) tools:::Rd_expr_doi("10.3389/fpsyg.2017.00456").
tools:::Rd_package_description("rmcorr")

A package for computing the repeated measures correlation coefficient — rmcorr-package

Maintainer: Laura R. Marusich <a href='mailto:lmarusich@gmail.com'>lmarusich@gmail.com</a> (<a href='https://orcid.org/0000-0002-3524-6110'>ORCID</a>)
Authors:<ul>
<li>Jonathan Z. Bakdash <a href='mailto:jbakdash@gmail.com'>jbakdash@gmail.com</a> (<a href='https://orcid.org/0000-0002-1409-4779'>ORCID</a>)</li>
</ul>

rmcorr-package: A package for computing the repeated measures correlation coefficient

Description

Arguments

Author

References

See Also