cccvc | R Documentation |
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()
)
dataset |
an object of class |
ry |
Character string. Name of the outcome in the data set. |
rind |
Character string. Name of the subject variable in the data set. |
rmet |
Character string. Name of the method variable in the data set. |
covar |
Character vector. Name of covariates to include in the linear mixed model as fixed effects. |
int |
Binary indicating if the subject-method interaction has to be included in the model when analyzing the non-longitudinal setting (defaults to FALSE). |
cl |
Confidence level. |
control.lme |
A list of control values for the estimation algorithm used in |
This function has been deprecated. See ccc_vc.
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