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:Thiago de Paula Oliveira [aut, cre], Rafael de Andrade Moral [aut], Silvio Sandoval Zocchi [ctb], Clarice Garcia Borges Demetrio [ctb], John Hinde [aut]

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

Peer review:

Bug tracker:https://github.com/prof-thiagooliveira/lcc/issues

On CRAN:

5 exports 1.02 score 37 dependencies 1 mentions 6 scripts 272 downloads

Last updated 10 months agofrom:a7745b41d2. Checks:OK: 1 NOTE: 6. Indexed: yes.

Exports:formatColumnis.lcclcclccPlottime_lcc

Dependencies:clicodetoolscolorspacedigestdoRNGdoSNOWfansifarverforeachggplot2gluegtablehnpisobanditeratorslabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangrngtoolsscalessnowtibbleutf8vctrsviridisLitewithr