dataBuilder

This is an internally called function used to prepare
 the dataset for <code>lcc</code> objects

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

dataBuilder 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>

Author

Internal Function to Prepare the Dataset for lcc
Objects — dataBuilder

Thiago de Paula Oliveira, <a href='mailto:thiago.paula.oliveira@alumni.usp.br'>thiago.paula.oliveira@alumni.usp.br</a>

dataBuilder: Internal Function to Prepare the Dataset for `lcc` Objects

Description

Arguments

Value

Author