Use VarReg.control
to determine parameters for the fitting of semiVarReg
. Typically only used internally within functions.
Arguments
- bound.tol
Positive tolerance for specifying the interior of the parameter space. This allows the algorithm to terminate early if an interior maximum is found. If set to
bound.tol=Inf
, no early termination is attempted.- epsilon
Positive convergence tolerance. If \(\theta\) is a vector of estimates, convergence is declared when \(\sqrt{(\sum (\theta_{old} - \theta_{new})^2)}/ \sqrt{\sum (\theta_{old})^2} \). This should be smaller than
bound.tol
.- maxit
integer giving the maximum number of EM algorithm iterations for a given parameterisation.
Details
This is used similarly to glm.control
. If required, it may be internally passed to another function.