Package: CorrMixed 1.1
CorrMixed: 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.
Authors:
CorrMixed_1.1.tar.gz
CorrMixed_1.1.zip(r-4.5)CorrMixed_1.1.zip(r-4.4)CorrMixed_1.1.zip(r-4.3)
CorrMixed_1.1.tgz(r-4.4-any)CorrMixed_1.1.tgz(r-4.3-any)
CorrMixed_1.1.tar.gz(r-4.5-noble)CorrMixed_1.1.tar.gz(r-4.4-noble)
CorrMixed_1.1.tgz(r-4.4-emscripten)CorrMixed_1.1.tgz(r-4.3-emscripten)
CorrMixed.pdf |CorrMixed.html✨
CorrMixed/json (API)
NEWS
| # Install 'CorrMixed' in R: |
| install.packages('CorrMixed', repos = c('https://wimvde001.r-universe.dev', 'https://cloud.r-project.org')) |
- Example.Data - An example dataset
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 years agofrom:2ae1620849. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 31 2024 |
| R-4.5-win | OK | Oct 31 2024 |
| R-4.5-linux | OK | Oct 31 2024 |
| R-4.4-win | OK | Oct 31 2024 |
| R-4.4-mac | OK | Oct 31 2024 |
| R-4.3-win | OK | Oct 31 2024 |
| R-4.3-mac | OK | Oct 31 2024 |
Exports:Explore.WS.CorrFract.PolyHeatmapModel.Fitplot.Explore.WS.Corrplot.WS.Corr.Mixedplot.WS.Corr.Mixed.SASSpaghetti.Plotsummary.Explore.WS.Corrsummary.Fract.Polysummary.WS.Corr.Mixedsummary.WS.Corr.Mixed.SASWS.Corr.MixedWS.Corr.Mixed.SAS
Dependencies:GPArotationlatticemnormtnlmepsych
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| An example dataset | Example.Data |
| Explore within-subject correlations (reliabilities) | Explore.WS.Corr |
| Fit fractional polynomials | Fract.Poly |
| Plot a heatmap of the correlation structure | Heatmap |
| Compare the fit of linear mixed-effects models | Model.Fit |
| Plot of exploratory within-subject correlations (reliabilities) | plot Explore.WS.Corr plot.Explore.WS.Corr |
| Plot the within-subject correlations (reliabilities) obtained by using the mixed-effects modeling approch | plot WS.Corr.Mixed plot WS.Corr.Mixed.SAS plot.WS.Corr.Mixed plot.WS.Corr.Mixed.SAS |
| Make a Spaghetti plot | Spaghetti.Plot |
| Estimate within-subject correlations (reliabilities) based on a mixed-effects model. | WS.Corr.Mixed |
| Estimate within-subject (test-retest) correlations based on a mixed-effects model using the SAS proc MIXED output. | WS.Corr.Mixed.SAS |
