cccrm: Concordance Correlation Coefficient for Repeated (andNon-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: | 3.0.5 |
| Depends: | R (≥ 4.1) |
| Imports: | nlme,dplyr,Deriv,tidyselect,progressr,furrr,nlmeU,parallelly,purrr,tidyr,lifecycle,future,MASS,ggplot2 |
| Published: | 2025-05-07 |
| DOI: | 10.32614/CRAN.package.cccrm |
| Author: | Josep Lluis Carrasco [aut, cre], Gonzalo Peon Pena [aut] |
| Maintainer: | Josep Lluis Carrasco <jlcarrasco at ub.edu> |
| License: | GPL-2 |GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | cccrm results |
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