yags can involve a nested iteration procedure with solutions to an auxiliary estimating equation Ua embedded in the standard NR. the iteration process is controlled by parameters set in this function.
1 2 3 | yags.control(maxiter=15, tol=1e-04, verbose=FALSE, Ua.maxit=20, Ua.tol=0.001,
Ua.gridlo=0.1, Ua.gridhi=0.9, Ua.gridnpts=10, Ua.secantdel=0.01,
fixscale=FALSE)
|
maxiter |
bound on number of NR iterations |
tol |
convergence criterion for NR |
verbose |
should extra info on iterations be emitted? |
Ua.maxit |
max number iterations for auxiliary estimating equation solver |
Ua.tol |
convergence criterion for aux. solver |
Ua.gridlo |
aux solver starts with a grid search: lower starting point |
Ua.gridhi |
upper bound to starting grid |
Ua.gridnpts |
number of nodes in starting grid |
Ua.secantdel |
delta for secant solution |
fixscale |
is scale parameter fixed? |
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