Estimation of the concordance correlation coefficient for non-repeated measurements and non-longitudinal repeated measurements (replicates) using the variance components from a linear mixed model. The appropriate intraclass correlation coefficient is used as estimator of the concordance correlation coefficient.
cccvc(
dataset,
ry,
rind,
rmet,
covar = NULL,
int = FALSE,
cl = 0.95,
control.lme = list()
)an object of class data.frame.
Character string. Name of the outcome in the data set.
Character string. Name of the subject variable in the data set.
Character string. Name of the method variable in the data set.
Character vector. Name of covariates to include in the linear mixed model as fixed effects.
Binary indicating if the subject-method interaction has to be included in the model when analyzing the non-longitudinal setting (defaults to FALSE).
Confidence level.
A list of control values for the estimation algorithm used in lme function. For further details see lme help.
This function has been deprecated. See ccc_vc.