lcc3.2.2 package

Advanced Analysis of Longitudinal Data Using the Concordance Correlation Coefficient

AIC.lcc

Akaike and Bayesian Information Criteria for an lcc Object

anova.lcc

Compare Likelihoods of Fitted Models from an lcc Object

bootstrapSamples

Internal functions to estimate fixed effects and variance components.

CCC_lin

Internal Function to Estimate the Sampled Concordance Correlation Coef...

CCC

Internal Function to Compute the Sampled Concordance Correlation Value...

ciBuilder

Internal Function to Prepare the ciCompute Function.

ciCompute

Internal Function to Compute the Non-Parametric Bootstrap Interval.

coef.lcc

Extract Model Coefficients

dataBuilder

Internal Function to Prepare the Dataset for lccObjects

dot-compute_LA

Internal helper to compute LA list for one diffbeta

dot-compute_LCC

Internal helper to compute LCC list for one diffbeta

dot-compute_LPC

Internal helper to compute LPC list (does not depend on diffbeta)

dot-lcc_default_theme

Internal base theme used by all ggplot-based summaries

dot-precompute_longitudinal

Internal helper to precompute longitudinal quantities

fitted.lcc

Extract Fitted Values from an lcc Object

fittedBuilder

Internal Function to Build Fitted Values for lcc Objects

formatColumn

Format Columns for Print

getDelta

Internal Function to Extract Variance Components Estimates.

getVarCov.lcc

Extract Variance Components from a Fitted lcc Model

init

Internal Function to Prepare lccModelFunction

is.lcc

Reports whether x is a lcc object

laBuilder

Internal Function to Estimate the Longitudinal Accuracy (Bias Correcto...

lcc_intervals

Internal Functions to Compute the Non-Parametric Confidence Intervals ...

lcc

Longitudinal concordance correlation (LCC) from polynomial mixed effec...

lccBuilder

Internal Function to Estimate the Longitudinal Concordance Correlation

lccInternal

Internal Function to Prepare lcc Objects

lccModel

Internal function to fit a linear mixed-effects model

lccPlot

Plot Fitted Curves from an lcc Object

lccSummary

Internal Function to Summarize Fitted and Sampled Values for lcc Obj...

logLik.lcc

Extract Log-Likelihood of an lcc Object

lpcBuilder

Internal Function to Estimate the Longitudinal Pearson Correlation

Pearson

Estimate Sampled Pearson Correlation

plot_la

Internal Function to Prepare the plotBuilder_la Function

plot_lpc

Prepare Plot for LPC Function

plot.lcc

Diagnostic Plots for an lcc Object

plotBuilder_la

Internal Function to Produces a Longitudinal Accuracy Plot.

plotBuilder_lcc

Generate a Longitudinal Concordance Correlation Plot

plotBuilder_lpc

Internal Function to Produce a Longitudinal Pearson Correlation Plot

plotControl

Control Settings for lcc Plots

print.anova.lcc

Print the Anova of an lcc Object

print.lcc

Print Method for lcc Objects

print.summary.lcc

Print Summary of an lcc Object

ranef.lcc

Extract Random Effects from an lcc Model

rename.vars

Internal Function to Prepare lccModelFunction

residuals.lcc

Extract Residuals from a Fitted lcc Model

summary.lcc

Summarize an lcc Object

time_lcc

Regular Sequence Generator for Time Variable

vcov.lcc

Extract Variance-Covariance Matrix of the Fixed Effects for an lcc Obj...

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>.

  • Maintainer: Thiago de Paula Oliveira
  • License: GPL (>= 2)
  • Last published: 2025-11-23