bootstrapSamples

This is an internally called functions used to estimate
 fixed effects and variance components for each bootstrap sample.

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

bootstrapSamples 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 functions to estimate fixed effects and variance
  components. — bootstrapSamples

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

bootstrapSamples: Internal functions to estimate fixed effects and variance components.

Description

Arguments

Author