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CorrMixed
View on CRAN: Click
here
Download and install CorrMixed package within the R console
Install from CRAN:
install.packages("CorrMixed")
Install from Github:
library("remotes")
install_github("cran/CorrMixed") Install by package version:
library("remotes")
install_version("CorrMixed", "1.1") Attach the package and use:
library("CorrMixed")
Maintained by
Wim Van der Elst
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-04-29
Latest Update: 2022-04-18
Description:
In clinical practice and research settings in medicine and the behavioral sciences, it is often of interest to quantify the correlation of a continuous endpoint that was repeatedly measured (e.g., test-retest correlations, ICC, etc.). This package allows for estimating these correlations based on mixed-effects models. Part of this software has been developed using funding provided from the European Union's 7th Framework Programme for research, technological development and demonstration under Grant Agreement no 602552.
How to cite:
Wim Van der Elst (2015). CorrMixed: Estimate Correlations Between Repeatedly Measured Endpoints (E.g., Reliability) Based on Linear Mixed-Effects Models. R package version 1.1, https://cran.r-project.org/web/packages/CorrMixed. Accessed 10 Oct. 2026.
Previous versions and publish date:
Other packages that cited CorrMixed R package
View CorrMixed citation profile
Other R packages that CorrMixed depends,
imports, suggests or enhances
Complete documentation for CorrMixed
Functions, R codes and Examples using
the CorrMixed R package
Some associated functions: Example.Data . Explore.WS.Corr . Fract.Poly . Heatmap . Model.Fit . Spaghetti.Plot . WS.Corr.Mixed.SAS . WS.Corr.Mixed . plot.Explore.WS.Corr . plot.WS.Corr.Mixed . summary.gen .
Some associated R codes: Explore.WS.Corr.R . Fract.Poly.R . Heatmap.R . Model.Fit.R . Spaghetti.Plot.R . WS.Corr.Mixed.R . WS.Corr.Mixed.SAS.R . plot.Explore.WS.Corr.R . plot.WS.Corr.Mixed.R . summary.Explore.WS.Corr.R . summary.Fract.Poly.R . summary.WS.Corr.Mixed.R . summary.WS.Corr.Mixed.SAS.R . Full CorrMixed package functions and examples
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