Estimate Correlations Between Repeatedly Measured Endpoints (E.g., Reliability) Based on Linear Mixed-Effects Models
Explore within-subject correlations (reliabilities)
Fit fractional polynomials
Plot a heatmap of the correlation structure
Compare the fit of linear mixed-effects models
Plot of exploratory within-subject correlations (reliabilities)
Plot the within-subject correlations (reliabilities) obtained by using...
Make a Spaghetti plot
Summary
Estimate within-subject correlations (reliabilities) based on a mixed-...
Estimate within-subject (test-retest) correlations based on a mixed-ef...
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.