This function computes the sampled concordance correlation
 coefficient (CCC) between two numeric vectors. It is used internally
 for statistical analysis.

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

CCC function

<dl><dt>Y1</dt>
<dd>A numeric vector.</dd>
<dt>Y2</dt>
<dd>A numeric vector, typically paired with Y1.</dd></dl>

Arguments

Internal Function to Compute the Sampled Concordance
  Correlation Values. — CCC

<dl>

<dt>Y1</dt>
<dd>A numeric vector.</dd>


<dt>Y2</dt>
<dd>A numeric vector, typically paired with Y1.</dd>

</dl>

CCC: Internal Function to Compute the Sampled Concordance Correlation Values.

Description

Usage

Value

Arguments

Examples