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> and Carrasco et al. (2013) <doi:10.1016/j.cmpb.2012.09.002>.

Version: 2.2.2
Depends: R (≥ 4.0)
Imports: nlme, dplyr, Deriv, tidyselect
Published: 2024-04-10
DOI: 10.32614/CRAN.package.cccrm
Author: Josep Lluis Carrasco
Maintainer: Josep Lluis Carrasco <jlcarrasco at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: cccrm results


Reference manual: cccrm.pdf


Package source: cccrm_2.2.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): cccrm_2.2.2.tgz, r-oldrel (arm64): cccrm_2.2.2.tgz, r-release (x86_64): cccrm_2.2.2.tgz, r-oldrel (x86_64): cccrm_2.2.2.tgz
Old sources: cccrm archive


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