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+\name{mob_control}
+\alias{mob_control}
+
+\title{Control Parameters for Model-based Partitioning}
+
+\description{
+  Various parameters that control aspects the fitting algorithm
+  for recursively partitioned \code{\link{mob}} models.
+}
+
+\usage{
+mob_control(alpha = 0.05, bonferroni = TRUE, minsplit = 20, trim = 0.1,
+  objfun = deviance, breakties = FALSE, parm = NULL, verbose = FALSE)
+}
+
+\arguments{
+  \item{alpha}{numeric significance level. A node is splitted when
+    the (possibly Bonferroni-corrected) \eqn{p} value for any parameter
+    stability test in that node falls below \code{alpha}.}
+  \item{bonferroni}{logical. Should \eqn{p} values be Bonferroni corrected?}
+  \item{minsplit}{integer. The minimum number of observations (sum of the
+    weights) in a node.}
+  \item{trim}{numeric. This specifies the trimming in the parameter instability
+    test for the numerical variables. If smaller than 1, it is interpreted
+    as the fraction relative to the current node size.}
+  \item{objfun}{function. A function for extracting the minimized value of
+    the objective function from a fitted model in a node.}
+  \item{breakties}{logical. Should ties in numeric variables be broken
+    randomly for computing the associated parameter instability test?}
+  \item{parm}{numeric or character. Number or name of model parameters
+    included in the parameter instability tests (by default all parameters
+    are included).}
+  \item{verbose}{logical. Should information about the fitting process
+    of \code{\link{mob}} (such as test statistics, \eqn{p} values, selected
+    splitting variables and split points) be printed to the screen?}
+}
+
+\details{
+  See \code{\link{mob}} for more details and references.
+}
+
+\seealso{\code{\link{mob}}}
+
+\value{
+  A list of class \code{mob_control} containing the control parameters.
+}
+
+\keyword{misc}