Package: cccrm 2.2.2

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>.

Authors:Josep Lluis Carrasco <[email protected]>

cccrm_2.2.2.tar.gz
cccrm_2.2.2.zip(r-4.5)cccrm_2.2.2.zip(r-4.4)cccrm_2.2.2.zip(r-4.3)
cccrm_2.2.2.tgz(r-4.4-any)cccrm_2.2.2.tgz(r-4.3-any)
cccrm_2.2.2.tar.gz(r-4.5-noble)cccrm_2.2.2.tar.gz(r-4.4-noble)
cccrm_2.2.2.tgz(r-4.4-emscripten)cccrm_2.2.2.tgz(r-4.3-emscripten)
cccrm.pdf |cccrm.html✨
cccrm/json (API)

# Install 'cccrm' in R:
install.packages('cccrm', repos = c('https://jlcarrascoub.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • bdaw - Blood draw data
  • bfat - Body fat data
  • bpres - Blood pressure data

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

5 exports 0.36 score 19 dependencies 291 downloads

Last updated 4 months agofrom:71a491e201

Exports:ccclonccclonwcccUstcccvcicc

Dependencies:cliDerivdplyrfansigenericsgluelatticelifecyclemagrittrnlmepillarpkgconfigR6rlangtibbletidyselectutf8vctrswithr