clmm.controlOld: Set control parameters for cumulative link mixed models

In ordinal: Regression Models for Ordinal Data

Description

Set control parameters for cumulative link mixed models

Usage

clmm2.control(method = c("ucminf", "nlminb", "model.frame"), ...,
             trace = 0, maxIter = 50, gradTol = 1e-4,
             maxLineIter = 50,
             innerCtrl = c("warnOnly", "noWarn", "giveError"))

Arguments

method	the optimizer used to maximize the marginal likelihood function.
...	control arguments passed on to the chosen optimizer; see ucminf, optim, and nlminb for details.
trace	numerical, if > 0 information is printed about and during the outer optimization process, if < 0 information is also printed about the inner optimization process. Defaults to 0.
maxIter	the maximum number of Newton updates of the inner optimization. 50.
gradTol	the maximum absolute gradient of the inner optimization.
maxLineIter	the maximum number of step halfings allowed if a Newton(-Raphson) step over shoots during the inner optimization.
innerCtrl	the use of warnings/errors if the inner optimization fails to converge.

Details

When the default optimizer, ucminf is used, the default values of that optimizers control options are changed to grtol = 1e-5 and grad = "central".

Value

a list of control parameters.

Author(s)

Rune Haubo B Christensen

See Also

clmm2

ordinal documentation built on May 2, 2019, 5:47 p.m.