glmRob.misclass.control {robust}R Documentation

Control for Misclassification Robust GLM Estimator

Description

Allows users to set parameters for glmRob.

Usage

glmRob.misclass.control(mc.gamma = 0.01, mc.maxit = 30, mc.trc = FALSE,
  mc.tol = 0.001, mc.initial = NULL, ...)

Arguments

mc.gamma a real number between 0 and 1 that represents the probability of misclassification of a response variable.
mc.maxit maximum number of iterations.
mc.trc a logical value indicating whether a trace of the current parameter values is printed to the screen while the algorithm iterates.
mc.tol convergence threshold.
mc.initial a vector of initial values to start the iterations. If ommited, the coeficients resulting from a non-robust glm fit are used.
... additional arguments are ignored.

Value

a list containing the parameters packaged to be used by glmRob. The values for glmRob.misclass.control can be supplied directly in a call to glmRob. These values are filtered through glmRob.misclass.control inside glmRob.

See Also

glmRob


[Package robust version 0.3-4 Index]