R: Advanced Analysis of Longitudinal Data Using the Concordance Correlation Coefficient

# Advanced Analysis of Longitudinal Data Using the Concordance Correlation Coefficient

## Documentation for package ‘lcc’ version 3.2.2

- DESCRIPTION file
- Package README

## Help Pages

.lcc_default_theme | Internal base theme used by all ggplot-based summaries
AIC.lcc | Akaike and Bayesian Information Criteria for an 'lcc' Object
anova.lcc | Compare Likelihoods of Fitted Models from an 'lcc' Object
BIC.lcc | Akaike and Bayesian Information Criteria for an 'lcc' Object
coef.lcc | Extract Model Coefficients
fitted.lcc | Extract Fitted Values from an 'lcc' Object
formatColumn | Format Columns for Print
getVarCov.lcc | Extract Variance Components from a Fitted lcc Model
hue | Hue color data
lcc | Longitudinal concordance correlation (LCC) from polynomial mixed effects regression models using fixed effects and variance components
lccPlot | Plot Fitted Curves from an 'lcc' Object
logLik.lcc | Extract Log-Likelihood of an 'lcc' Object
plot.lcc | Diagnostic Plots for an 'lcc' Object
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
residuals.lcc | Extract Residuals from a Fitted lcc Model
simulated_hue | Hue color simulated data
simulated_hue_block | Hue color simulated data in a randomized block design
summary.lcc | Summarize an 'lcc' Object
vcov.lcc | Extract Variance-Covariance Matrix of the Fixed Effects for an lcc Object