CorrMixed v0.1-13
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Estimate Correlations Between Repeatedly Measured Endpoints (E.g., Reliability) Based on Linear Mixed-Effects Models
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.
Functions in CorrMixed
| Name | Description | |
| plot Explore.WS.Corr | Plot of exploratory within-subject correlations (reliabilities) | |
| Model.Fit | Compare the fit of linear mixed-effects models | |
| summary | Summary | |
| Example.Data | An example dataset | |
| Spaghetti.Plot | Make a Spaghetti plot | |
| Heatmap | Plot a heatmap of the correlation structure | |
| plot.WS.Corr.Mixed | Plot the within-subject correlations (reliabilities) obtained by using the mixed-effects modeling approch | |
| Explore.WS.Corr | Explore within-subject correlations (reliabilities) | |
| 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. | |
| Fract.Poly | Fit fractional polynomials | |
| No Results! | ||
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Details
| Type | Package |
| Date | 2015-03-08 |
| License | GPL (>= 2) |
| BugReports | Wim Van der Elst |
| Repository | CRAN |
| NeedsCompilation | no |
| Packaged | 2016-08-03 08:45:34 UTC; WimVDE |
| Date/Publication | 2016-08-04 11:47:46 |
| depends | nlme |
| imports | psych |
| Contributors | Wim der Elst, Geert Molenberghs, Dieter Hilgers, Nicole Heussen |
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