Set control parameters for cumulative link models
clm2.control(method = c("ucminf", "Newton", "nlminb", "optim",
"model.frame"), ..., convTol = 1e-4,
trace = 0, maxIter = 100, gradTol = 1e-5,
maxLineIter = 10)a list of control parameters.
the optimizer used to maximize the likelihood
function. "Newton" only works for models without scale,
structured thresholds and flexible link functions,
but is considerably faster than the other
optimizers when applicable. model.frame simply returns a list
of model frames with the location, scale and nominal model
frames. "optim" uses the "BFGS" method.
control arguments passed on to the chosen optimizer; see
ucminf, optim, and
nlminb for details.
convergence criterion on the size of the maximum absolute gradient.
numerical, if > 0 information is printed about and during
the optimization process. Defaults to 0.
the maximum number of Newton-Raphson iterations.
Defaults to 100.
the maximum absolute gradient. This is the termination
criterion and defaults to 1e-5.
the maximum number of step halfings allowed if
a Newton(-Raphson) step over shoots. Defaults to 10.
Rune Haubo B Christensen
clm2