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CorrMixed (version 0.1-1)

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

Description

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.

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Version

Install

install.packages('CorrMixed')

Monthly Downloads

246

Version

0.1-1

License

GPL (>= 2)

Maintainer

Wim der Elst

Last Published

April 29th, 2015

Functions in CorrMixed (0.1-1)

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.