jmcmControl: Control of Joint Mean Covariance Model Fitting

In jmcm: Joint Mean-Covariance Models using 'Armadillo' and S4

Description

Construct control structures for joint mean covariance model fitting

Usage

jmcmControl(trace = FALSE, profile = TRUE, ignore.const.term = TRUE,
  original.poly.order = FALSE, errormsg = FALSE)

Arguments

trace	whether or not the value of the objective function and the parameters should be print on every trace'th iteration.
profile	whether or not parameters should be estimated sequentially using the idea of profile likelihood.
ignore.const.term	whether or not the constant term should be considered when calculating log-likelihood and BIC. function
original.poly.order	whether or not the original poly order p q d should be used
errormsg	whether or not the error message should be print

jmcm documentation built on Jan. 16, 2021, 5:32 p.m.