R: Joint Mean-Covariance Models using 'Armadillo' and S4

# Joint Mean-Covariance Models using 'Armadillo' and S4

## Documentation for package ‘jmcm’ version 0.2.5

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

acd_estimation | Fit Joint Mean-Covariance Models based on ACD
aids | Aids Data
bootcurve | Plot Fitted Curves and Corresponding Confidence Interval using bootstrapping method
cattle | Cattle Data
getJMCM | Extract or Get Generalized Components from a Fitted Joint Mean Covariance Model
getJMCM.jmcmMod | Extract or Get Generalized Components from a Fitted Joint Mean Covariance Model
hpc_estimation | Fit Joint Mean-Covariance Models based on HPC
jmcm | Fit Joint Mean-Covariance Models
jmcmControl | Control of Joint Mean Covariance Model Fitting
jmcmMod-class | Class "jmcmMod" of Fitted Joint Mean-Covariance Models.
ldFormula | Modular Functions for Joint Mean Covariance Model Fits
mcd_estimation | Fit Joint Mean-Covariance Models based on MCD
meanplot | Plot Fitted Mean Curves
mkJmcmMod | Modular Functions for Joint Mean Covariance Model Fits
modular | Modular Functions for Joint Mean Covariance Model Fits
optimizeJmcm | Modular Functions for Joint Mean Covariance Model Fits
regressogram | Plot Sample Regressograms and Fitted Curves
show-method | Print information for jmcmMod-class