ccclonw: Concordance Correlation Coefficient estimated by Variance...

In cccrm: Concordance Correlation Coefficient for Repeated (and Non-Repeated) Measures

Concordance Correlation Coefficient estimated by Variance Components

Description

Concordance Correlation Coefficient for longitudinal repeated measures estimated by variance components

Usage

ccclonw(
  dataset,
  ry,
  rind,
  rtime,
  rmet,
  vecD,
  covar = NULL,
  rho = 0,
  cl = 0.95,
  control.lme = list()
)

Arguments

dataset	an object of class data.frame.
ry	Character string. Name of the outcome in the data set.
rind	Character string. Name of the subject variable in the data set.
rtime	Character string. Name of the time variable in the data set.
rmet	Character string. Name of the method variable in the data set.
vecD	Vector of weights. The length of the vector must be the same as the number of repeated measures.
covar	Character vector. Name of covariates to include in the linear mixed model as fixed effects.
rho	Within subject correlation structure. A value of 0 (default option) stands for compound symmetry and 1 is used for autorregressive of order 1 structure.
cl	Confidence level.
control.lme	A list of control values for the estimation algorithm used in lme function. For further details see lme help.

Details

This function has been deprecated. See ccc_vc.

cccrm documentation built on Oct. 19, 2024, 9:06 a.m.