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.
|Author||Wim Van der Elst, Geert Molenberghs, Dieter Hilgers, & Nicole Heussen|
|Date of publication||2016-08-04 11:47:46|
|Maintainer||Wim Van der Elst <Wim.email@example.com>|
|License||GPL (>= 2)|
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...
plot.WS.Corr.Mixed: Plot the within-subject correlations (reliabilities) obtained...
Spaghetti.Plot: Make a Spaghetti plot
WS.Corr.Mixed: Estimate within-subject correlations (reliabilities) based on...
WS.Corr.Mixed.SAS: Estimate within-subject (test-retest) correlations based on a...