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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 |
| Author: | Josep Lluis Carrasco |
| Maintainer: | Josep Lluis Carrasco <jlcarrasco at ub.edu> |
| 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: cccrm_2.2.2.zip, r-release: cccrm_2.2.2.zip, r-oldrel: cccrm_2.2.2.zip |
| 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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