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: |
3.0.3 |
| Depends: |
R (≥ 4.0) |
| Imports: |
nlme, dplyr, Deriv, tidyselect, progressr, furrr, nlmeU, parallelly, purrr, tidyr, lifecycle, future |
| Published: |
2024-10-19 |
| 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 |
Documentation:
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