ciCompute

This is an internally called function used to compute
 the non-parametric bootstrap interval.

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

ciCompute 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>

Author

Internal Function to Compute the Non-Parametric Bootstrap
  Interval. — ciCompute

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

ciCompute: Internal Function to Compute the Non-Parametric Bootstrap Interval.

Description

Arguments

Author

Details