Package: lcc 2.0.0
lcc: Longitudinal Concordance Correlation
Estimates the longitudinal concordance correlation to access the longitudinal agreement profile. The estimation approach implemented is variance components approach based on polynomial mixed effects regression model, as proposed by Oliveira, Hinde and Zocchi (2018) <doi:10.1007/s13253-018-0321-1>. In addition, non-parametric confidence intervals were implemented using percentile method or normal-approximation based on Fisher Z-transformation.
Authors:
lcc_2.0.0.tar.gz
lcc_2.0.0.zip(r-4.5)lcc_2.0.0.zip(r-4.4)lcc_2.0.0.zip(r-4.3)
lcc_2.0.0.tgz(r-4.4-any)lcc_2.0.0.tgz(r-4.3-any)
lcc_2.0.0.tar.gz(r-4.5-noble)lcc_2.0.0.tar.gz(r-4.4-noble)
lcc_2.0.0.tgz(r-4.4-emscripten)lcc_2.0.0.tgz(r-4.3-emscripten)
lcc.pdf |lcc.html✨
lcc/json (API)
NEWS
| # Install 'lcc' in R: |
| install.packages('lcc', repos = c('https://prof-thiagooliveira.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/prof-thiagooliveira/lcc/issues
- hue - Hue color data
- simulated_hue - Hue color simulated data
- simulated_hue_block - Hue color simulated data in a randomized block design
Last updated 12 months agofrom:a7745b41d2. Checks:OK: 1 NOTE: 6. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 21 2024 |
| R-4.5-win | NOTE | Nov 21 2024 |
| R-4.5-linux | NOTE | Nov 21 2024 |
| R-4.4-win | NOTE | Nov 21 2024 |
| R-4.4-mac | NOTE | Nov 21 2024 |
| R-4.3-win | NOTE | Nov 21 2024 |
| R-4.3-mac | NOTE | Nov 21 2024 |
Exports:formatColumnis.lcclcclccPlottime_lcc
Dependencies:clicodetoolscolorspacedigestdoRNGdoSNOWfansifarverforeachggplot2gluegtablehnpisobanditeratorslabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangrngtoolsscalessnowtibbleutf8vctrsviridisLitewithr
