lccModel

<p>This is an internally called function used to fits a
  linear mixed-effects model; see <code><a rd-options="nlme" href="/link/lme?package=lcc&version=1.1.0&to=nlme" data-mini-rdoc="nlme::lme">lme</a></code>.</p>

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

lccModel function

<p>This is an internally called function used to fits a
  linear mixed-effects model; see <code><a rd-options='nlme' href='lme'>lme</a></code>.</p>

lccModel: Internal Function to Fits a Linear Mixed-Effects Model in the Formulation Described in Laird and Ware (1982).

Description

Arguments

References