Pearson

This is an internally called functions used to estimate
 the sampled Pearson correlation.

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

Pearson 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 Estimate the Sampled Pearson
  Correlation. — Pearson

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

Pearson: Internal Function to Estimate the Sampled Pearson Correlation.

Description

Arguments

Value

Author