Joint Mean-Covariance Models using 'Armadillo' and S4
Fit Joint Mean-Covariance Models based on ACD
Plot Fitted Curves and Corresponding Confidence Interval using bootstr...
Extract or Get Generalized Components from a Fitted Joint Mean Covaria...
Fit Joint Mean-Covariance Models based on HPC
Fit Joint Mean-Covariance Models
Control of Joint Mean Covariance Model Fitting
Class "jmcmMod" of Fitted Joint Mean-Covariance Models.
Fit Joint Mean-Covariance Models based on MCD
Plot Fitted Mean Curves
Modular Functions for Joint Mean Covariance Model Fits
Plot Sample Regressograms and Fitted Curves
Print information for jmcmMod-class
Fit joint mean-covariance models for longitudinal data. The models and their components are represented using S4 classes and methods. The core computational algorithms are implemented using the 'Armadillo' C++ library for numerical linear algebra and 'RcppArmadillo' glue.