ordinal: clm.controlOld – R documentation

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ordinal

clm.controlOld

Set control parameters for cumulative link models

Description

Set control parameters for cumulative link models

Usage

clm2.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 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.
`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`.

Value

a list of control parameters.

Author(s)

Rune Haubo B Christensen