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:

2.70 score 7 scripts 347 downloads 1 mentions 5 exports 37 dependencies

Last updated 1 years agofrom:a7745b41d2. Checks:1 OK, 7 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 19 2025
R-4.5-winNOTEFeb 19 2025
R-4.5-macNOTEFeb 19 2025
R-4.5-linuxNOTEFeb 19 2025
R-4.4-winNOTEFeb 19 2025
R-4.4-macNOTEFeb 19 2025
R-4.3-winNOTEFeb 19 2025
R-4.3-macNOTEFeb 19 2025

Exports:formatColumnis.lcclcclccPlottime_lcc

Dependencies:clicodetoolscolorspacedigestdoRNGdoSNOWfansifarverforeachggplot2gluegtablehnpisobanditeratorslabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangrngtoolsscalessnowtibbleutf8vctrsviridisLitewithr