.compute_LCC

<p>Internal helper to compute LCC list for one diffbeta</p>

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

.compute_LCC function

Internal helper to compute LCC list for one diffbeta — .compute_LCC

Internal helper to compute LCC list for one diffbeta

.compute_LCC: Internal helper to compute LCC list for one diffbeta

Description

Usage

Arguments