cccrm (version 1.1)

cccvc: Concordance Correlation Coefficient by Variance Components

Description

Estimates the concordance correlation coefficient through the variance components of a linear mixed model

Usage

cccvc(dataset,ry,rind,rmet,covar=NULL,int=FALSE)
cccvc1(dataset,ry,rind,rmet,covar=NULL)
## S3 method for class 'default':
cccvc1(dataset,ry,rind,rmet,covar=NULL)
## S3 method for class 'cccvc1':
print(x,...)
## S3 method for class 'cccvc1':
summary(object,...)
## S3 method for class 'summary.cccvc1':
print(x,...)
cccvc2(dataset,ry,rind,rmet,covar=NULL)
## S3 method for class 'default':
cccvc2(dataset,ry,rind,rmet,covar=NULL)
## S3 method for class 'cccvc2':
print(x,...)
## S3 method for class 'cccvc2':
summary(object,...)
## S3 method for class 'summary.cccvc2':
print(x,...)

Arguments

dataset

Name of data set

ry

Character string indicating the outcome in data set

rind

Character string indicating the subject variable in data set

rmet

Character string indicating the method variable in data set

covar

Character vector indicating the covariables

int

Boolean value indicating whether the Subject-Method interaction is included in the model

x

Object class cccvc

object

Object class cccvc

...

other arguments to be passed to print or summary

Value

• An object of class cccvc.The generic function print and summary gives the estimates of the concordance correlation coefficient. The object cccvc contains the following components:
• model
  Linear mixed model output
• vc
  Variance Components estimates
• sigma
  An approximate covariance matrix for the variance components
• ccc.p
  The Concordance Correlation Coefficient estimate
• ccc.i
  Vector containing the Concordance Correlation Coefficient estimate, standard error, 95 percent confidence intervals. Additionally Z Fisher's transformation and its standard error are provided

References

Carrasco, J. L., Jover, L. (2003). Estimating the generalized concordance correlation coefficient through variance components. Biometrics 59 849 858 Carrasco, J. L., King, T. S., and Chinchilli, V. M. (2009). The concordance correlation coefficient for repeated measures estimated by variance components. Journal of Biopharmaceutical Statistics 19, 90 105.

Examples

data(bpres)

#Case without interaction

result1<-cccvc(bpres,"DIA","ID","METODE")
result1

summary(result1)

#Case adjusted by covariates

result2<-cccvc(bpres,"DIA","ID","METODE",cov=c("EDAD","SEXO"))
result2

summary(result2)