CorrMixed v0.1-1


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by Wim der Elst

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
Example.Data An example dataset
Explore.WS.Corr Explore within-subject correlations (reliabilities)
summary Summary
Fract.Poly Fit fractional polynomials
Spaghetti.Plot Make a Spaghetti plot
WS.Corr.Mixed Estimate within-subject correlations (reliabilities) based on a mixed-effects model.
Model.Fit Compare the fit of linear mixed-effects models
plot.WS.Corr.Mixed Plot the within-subject correlations (reliabilities) obtained by using the mixed-effects modeling approch
Heatmap Plot a heatmap of the correlation structure
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.
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Type Package
Date 2015-04-29
License GPL (>= 2)
BugReports Wim Van der Elst
Repository CRAN
NeedsCompilation no
Packaged 2015-04-29 13:55:31 UTC; lucp7687
Date/Publication 2015-04-29 16:23:26

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