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

In ordinal: Regression Models for Ordinal Data

Set control parameters for cumulative link mixed models

Description

Set control parameters for cumulative link mixed models

Usage

clmm.control(method = c("nlminb", "ucminf", "model.frame"), ..., trace = 0,
maxIter = 50, gradTol = 1e-4, maxLineIter = 50,  useMatrix = FALSE,
innerCtrl = c("warnOnly", "noWarn", "giveError"),
checkRanef = c("warn", "error", "message"))

Arguments

method	the optimizer used to maximize the marginal likelihood function.
...	control arguments passed on to the optimizer; see ucminf for details. ucminf 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.
useMatrix	if TRUE, a general implementation of the Laplace approximation using the Matrix package is used, while if FALSE (default), a C implementation of the Laplace approximation valid only for models with a single random effects term is used when possible. TRUE is not valid for models fitted with quadrature methods.
innerCtrl	the use of warnings/errors if the inner optimization fails to converge.
checkRanef	the use of message/warning/error if there are more random effects than observations.

Value

a list of control parameters

Author(s)

Rune Haubo B Christensen

See Also

clmm

ordinal documentation built on Sept. 11, 2024, 7:44 p.m.