CorrMixed v1.0


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Estimate Correlations Between Repeatedly Measured Endpoints (E.g., Reliability) Based on Linear Mixed-Effects Models

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.

Functions in CorrMixed

Name Description
Fract.Poly Fit fractional polynomials
summary Summary
Heatmap Plot a heatmap of the correlation structure
WS.Corr.Mixed Estimate within-subject correlations (reliabilities) based on a mixed-effects model.
Model.Fit Compare the fit of linear mixed-effects models
Example.Data An example dataset
plot Explore.WS.Corr Plot of exploratory within-subject correlations (reliabilities)
WS.Corr.Mixed.SAS Estimate within-subject (test-retest) correlations based on a mixed-effects model using the SAS proc MIXED output.
Explore.WS.Corr Explore within-subject correlations (reliabilities)
Spaghetti.Plot Make a Spaghetti plot
plot.WS.Corr.Mixed Plot the within-subject correlations (reliabilities) obtained by using the mixed-effects modeling approch
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Type Package
License GPL (>= 2)
Repository CRAN
NeedsCompilation no
Packaged 2019-11-10 08:04:10 UTC; wim
Date/Publication 2019-11-10 08:20:02 UTC

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