CorrMixed v0.1-1
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by Wim der Elst
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 | |
| 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. | |
| No Results! | ||
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Details
| Type | Package |
| Date | 2015-04-29 |
| License | GPL (>= 2) |
| BugReports | Wim Van der Elst |
| Repository | CRAN |
| NeedsCompilation | no |
| Packaged | 2015-04-29 13:55:31 UTC; lucp7687 |
| Date/Publication | 2015-04-29 16:23:26 |
| depends | nlme |
| imports | psych |
| Contributors | Wim der Elst, Geert Molenberghs, Dieter Hilgers, Nicole Heussen |
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