Concordance Correlation Coefficient for Repeated (and Non-Repeated) Measures
Blood draw data
Body fat data
Blood pressure data
Concordance Correlation Coefficient estimation by variance components.
Concordance correlation Coefficient estimation from a linear mixed mod...
Repeated Measures Concordance Correlation Coefficient estimated by U-s...
Data simulation using fixed and random effects
Concordance Correlation Coefficient estimation by variance components.
Concordance Correlation Coefficient estimated by Variance Components
Concordance Correlation Coefficient estimated by Variance Components
cccrm: Concordance Correlation Coefficient for Repeated (and Non-Repea...
Concordance Correlation Coefficient estimated by Variance Components
Fits a Linear Mixed Effects Model
Non-parametric cluster bootstrap to make inference on the concordance ...
Non-parametric cluster bootstrap to make inference on the concordance ...
Parametric bootstrap to make inference on the concordance correlation ...
Power and confidence interval range
Wald's test on the Concordance Correlation Coefficient
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>.