Usage
clm.control(method = c("ucminf", "Newton", "nlminb", "optim",
"model.frame"), ..., convTol = 1e-4,
trace = 0, maxIter = 100, gradTol = 1e-5,
maxLineIter = 10)Arguments
method
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 whe
...
control arguments passed on to the chosen optimizer; see
ucminf, optim, and
nlminb for details. convTol
convergence criterion on the size of the maximum
absolute gradient.
trace
numerical, if > 0 information is printed about and during
the optimization process. Defaults to 0.
maxIter
the maximum number of Newton-Raphson iterations.
Defaults to 100.
gradTol
the maximum absolute gradient. This is the termination
criterion and defaults to 1e-5.
maxLineIter
the maximum number of step halfings allowed if
a Newton(-Raphson) step over shoots. Defaults to 10.