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\name{clmm2.control}
\alias{clmm2.control}
\title{Set control parameters for cumulative link mixed models}
\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{
\item{method}{
the optimizer used to maximize the marginal likelihood function.
}
\item{\dots}{control arguments passed on to the chosen optimizer; see
\code{\link[ucminf]{ucminf}}, \code{\link{optim}}, and
\code{\link{nlminb}} for details.
}
\item{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 \code{0}.
}
\item{maxIter}{the maximum number of Newton updates of the inner
optimization. \code{50}.
}
\item{gradTol}{the maximum absolute gradient of the inner
optimization.
}
\item{maxLineIter}{the maximum number of step halfings allowed if
a Newton(-Raphson) step over shoots during the inner optimization.
}
\item{innerCtrl}{the use of warnings/errors if the inner optimization
fails to converge.
}
}
\details{
When the default optimizer, \code{ucminf} is used, the default values
of that optimizers control options are changed to \code{grtol = 1e-5}
and \code{grad = "central"}.
}
\value{
a list of control parameters.
}
\author{Rune Haubo B Christensen}
\seealso{
\code{\link{clmm2}}
}
\keyword{models}
|
