.precompute_longitudinal

<p>Precomputes quantities (polynomial bases, tGt, deltas, etc.)
  that are shared across LCC, LPC and LA for a given model and time grid.</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

.precompute_longitudinal function

Internal helper to precompute longitudinal quantities — .precompute_longitudinal

Internal helper to precompute longitudinal quantities

.precompute_longitudinal: Internal helper to precompute longitudinal quantities

Description

Usage

Arguments