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\name{glmRob.misclass.control}
\alias{glmRob.misclass.control}
\title{
Control for Misclassification Robust GLM Estimator
}
\description{
Allows users to set parameters for \code{glmRob}.
}
\usage{
glmRob.misclass.control(mc.gamma = 0.01, mc.maxit = 30, mc.trc = FALSE,
mc.tol = 0.001, mc.initial = NULL, ...)
}
\arguments{
\item{mc.gamma}{a real number between 0 and 1 that represents the probability of
misclassification of a response variable.}
\item{mc.maxit}{maximum number of iterations.}
\item{mc.trc}{a logical value indicating whether a trace of the current parameter values is printed to the screen while the algorithm iterates.}
\item{mc.tol}{convergence threshold.}
\item{mc.initial}{a vector of initial values to start the iterations. If ommited, the coeficients resulting from a non-robust glm fit are used.}
\item{\dots}{additional arguments are ignored.}
}
\value{
a list containing the parameters packaged to be used by \code{\link{glmRob}}. The values for \code{\link{glmRob.misclass.control}} can be supplied directly in a call to \code{\link{glmRob}}. These values are filtered through \code{\link{glmRob.misclass.control}} inside \code{\link{glmRob}}.
}
\seealso{\code{\link{glmRob}}}
\keyword{robust}
\keyword{regression}
|
