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


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Documentation for package ‘CorrMixed’ version 1.0

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Example.Data An example dataset
Explore.WS.Corr Explore within-subject correlations (reliabilities)
Fract.Poly Fit fractional polynomials
Heatmap Plot a heatmap of the correlation structure
Model.Fit Compare the fit of linear mixed-effects models
plot Explore.WS.Corr Plot of exploratory within-subject correlations (reliabilities)
plot WS.Corr.Mixed Plot the within-subject correlations (reliabilities) obtained by using the mixed-effects modeling approch
plot WS.Corr.Mixed.SAS Plot the within-subject correlations (reliabilities) obtained by using the mixed-effects modeling approch
plot.Explore.WS.Corr Plot of exploratory within-subject correlations (reliabilities)
plot.WS.Corr.Mixed Plot the within-subject correlations (reliabilities) obtained by using the mixed-effects modeling approch
plot.WS.Corr.Mixed.SAS Plot the within-subject correlations (reliabilities) obtained by using the mixed-effects modeling approch
Spaghetti.Plot Make a Spaghetti plot
WS.Corr.Mixed Estimate within-subject correlations (reliabilities) based on a mixed-effects model.
WS.Corr.Mixed.SAS Estimate within-subject (test-retest) correlations based on a mixed-effects model using the SAS proc MIXED output.