cccrm: Concordance Correlation Coefficient for Repeated (and Non-Repeated) Measures

Estimates the Concordance Correlation Coefficient to assess agreement. The scenarios considered are non-repeated measures, non-longitudinal repeated measures (replicates) and longitudinal repeated measures. It also includes the estimation of the one-way intraclass correlation coefficient also known as reliability index. The estimation approaches implemented are variance components and U-statistics approaches. Description of methods can be found in Fleiss (1986) <doi:10.1002/9781118032923.ch1> and Carrasco et al. (2013) <doi:10.1016/j.cmpb.2012.09.002>.

Version: 2.0.3
Depends: R (≥ 4.0)
Imports: nlme, dplyr, Deriv, tidyselect
Published: 2021-04-28
Author: Josep Lluis Carrasco, Josep Puig Martinez
Maintainer: Josep Lluis Carrasco <jlcarrasco at ub.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: cccrm results

Downloads:

Reference manual: cccrm.pdf
Package source: cccrm_2.0.3.tar.gz
Windows binaries: r-devel: cccrm_2.0.3.zip, r-release: cccrm_2.0.3.zip, r-oldrel: cccrm_1.2.1.zip
macOS binaries: r-release: cccrm_2.0.3.tgz, r-oldrel: cccrm_1.2.1.tgz
Old sources: cccrm archive

Reverse dependencies:

Reverse suggests: propr

Linking:

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