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)
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.
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
.
a list of control parameters.