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:	2.1.0
Depends:	R (≥ 4.0)
Imports:	nlme, dplyr, Deriv, tidyselect
Published:	2022-08-31
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

Documentation:

Reference manual:

cccrm.pdf

Downloads:

Package source:	cccrm_2.1.0.tar.gz
Windows binaries:	r-devel: cccrm_2.1.0.zip, r-release: cccrm_2.1.0.zip, r-oldrel: cccrm_2.1.0.zip
macOS binaries:	r-release (arm64): cccrm_2.1.0.tgz, r-oldrel (arm64): cccrm_2.1.0.tgz, r-release (x86_64): cccrm_2.1.0.tgz, r-oldrel (x86_64): cccrm_2.1.0.tgz
Old sources:	cccrm archive

Reverse dependencies:

Reverse suggests:

propr

Linking:

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