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.

Version: 1.1.0
Depends: R (≥ 3.2.3), nlme (≥ 3.1-124), ggplot2 (≥ 2.2.1)
Imports: grid, gridExtra, hnp, gdata, parallel, doSNOW, doRNG, foreach
Suggests: roxygen2 (≥ 3.0.0), covr, testthat, MASS
Published: 2020-05-22
Author: Thiago de Paula Oliveira [aut, cre], Rafael de Andrade Moral [aut], Silvio Sandoval Zocchi [ctb], Clarice Garcia Borges Demetrio [ctb], John Hinde [aut]
Maintainer: Thiago de Paula Oliveira <thiago.paula.oliveira at usp.br>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: lcc results

Downloads:

Reference manual: lcc.pdf
Package source: lcc_1.1.0.tar.gz
Windows binaries: r-devel: lcc_1.1.0.zip, r-release: lcc_1.1.0.zip, r-oldrel: lcc_1.1.0.zip
macOS binaries: r-release: lcc_1.0.4.tgz, r-oldrel: lcc_1.1.0.tgz
Old sources: lcc archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=lcc to link to this page.