getDelta

This is an internally called function used to extract
 variance components estimate of \(\Sigma\) matrix based on
 specified structure.

internal

Estimates the longitudinal concordance correlation to access the longitudinal agreement profile. The estimation approach implemented is variance components approach based on polynomial mixed effects regression model, as proposed by Oliveira, Hinde and Zocchi (2018) <doi:10.1007/s13253-018-0321-1>. In addition, non-parametric confidence intervals were implemented using percentile method or normal-approximation based on Fisher Z-transformation.

Thiago de Paula Oliveira

Longitudinal Concordance Correlation

Rafael de Andrade Moral

Silvio Sandoval Zocchi

Clarice Garcia Borges Demetrio

John Hinde

getDelta function

Thiago de Paula Oliveira,
 <a href="/link/thiago.paula.oliveira%40alumni.usp.br?package=lcc&version=1.1.4" data-mini-rdoc="lcc::thiago.paula.oliveira@alumni.usp.br">thiago.paula.oliveira@alumni.usp.br</a> and Rafael de Andrade Moral,
 <a href="/link/rafael_moral%40yahoo.com.br?package=lcc&version=1.1.4" data-mini-rdoc="lcc::rafael_moral@yahoo.com.br">rafael_moral@yahoo.com.br</a>

Author

Internal Function to Extract Variance Components Estimates. — getDelta

Thiago de Paula Oliveira,
 <a href='mailto:thiago.paula.oliveira@alumni.usp.br'>thiago.paula.oliveira@alumni.usp.br</a> and Rafael de Andrade Moral,
 <a href='mailto:rafael_moral@yahoo.com.br'>rafael_moral@yahoo.com.br</a>

getDelta: Internal Function to Extract Variance Components Estimates.

Description

Arguments

Value

Author