jmcmControl

whether or not the value of the objective function and the
parameters should be print on every trace'th iteration.

trace

whether or not parameters should be estimated sequentially
using the idea of profile likelihood.

profile

whether or not the constant term should be considered 
when calculating log-likelihood and BIC.
function

ignore.const.term

whether or not the error message should be print

errorMsg

Construct control structures for joint mean covariance model
fitting

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.

jmcmControl: Control of Joint Mean Covariance Model Fitting

Description

Usage

Arguments