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

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Documentation for package ‘CorrMixed’ version 1.1

• DESCRIPTION file.
• Package NEWS.

Help Pages

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.