# 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 No Results!