getDelta

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

internal

Methods for assessing agreement between repeated
measurements obtained by two or more methods using the longitudinal
concordance correlation coefficient (LCC). Polynomial mixed-effects
models (via 'nlme') describe how concordance, Pearson correlation
and accuracy evolve over time. Functions are provided for model
fitting, diagnostic plots, extraction of summaries, and non-parametric
bootstrap confidence intervals (including parallel computation),
following Oliveira et al. (2018) <doi:10.1007/s13253-018-0321-1>.

Thiago de Paula Oliveira

Advanced Analysis of Longitudinal Data Using the Concordance
Correlation Coefficient

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=3.2.2" 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=3.2.2" 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

Author