glmRob.misclass.control {robust}

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