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-4.5-any)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

Datasets:

On CRAN:

Conda:

2.70 score 7 scripts 256 downloads 1 mentions 5 exports 37 dependencies

Last updated 1 years agofrom:a7745b41d2. Checks:1 OK, 8 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 21 2025
R-4.5-winNOTEMar 21 2025
R-4.5-macNOTEMar 21 2025
R-4.5-linuxNOTEMar 21 2025
R-4.4-winNOTEMar 21 2025
R-4.4-macNOTEMar 21 2025
R-4.4-linuxNOTEMar 21 2025
R-4.3-winNOTEMar 21 2025
R-4.3-macNOTEMar 21 2025

Exports:formatColumnis.lcclcclccPlottime_lcc

Dependencies:clicodetoolscolorspacedigestdoRNGdoSNOWfansifarverforeachggplot2gluegtablehnpisobanditeratorslabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangrngtoolsscalessnowtibbleutf8vctrsviridisLitewithr