plot_lpc

Internally called function to prepare data for the `plotBuilder_lpc` function.

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

plot_lpc 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

Prepare Plot for LPC Function — plot_lpc

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

plot_lpc: Prepare Plot for LPC Function

Description

Arguments

Author