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. The estimation approaches implemented are variance components and U-statistics approaches.

Version: 2.0.1
Depends: R (≥ 4.0.0)
Imports: nlme, dplyr, Deriv, tidyselect
Published: 2020-06-10
Author: Josep Lluis Carrasco, Josep Puig Martinez
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_2.0.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: cccrm_2.0.1.tgz, r-oldrel: cccrm_1.2.1.tgz
Old sources: cccrm archive

Reverse dependencies:

Reverse suggests: propr


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