Concordance Correlation Coefficient for Repeated (and Non-Repeated) Measures R package cccrm version 3.0.6 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>. Software Depends: R (>= 4.1) Imports: nlme, dplyr, Deriv, tidyselect, progressr, furrr, nlmeU, parallelly, purrr, tidyr, lifecycle, future, MASS, ggplot2 Josep Lluis Carrasco <jlcarrasco@ub.edu> Comprehensive R Archive Network (CRAN) Josep Lluis Carrasco [aut, cre], Gonzalo Peon Pena [aut] GPL (>= 2) 2026-01-27 application/tgz https://CRAN.R-project.org/package=cccrm doi:10.32614/CRAN.package.cccrm