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robust (version 0.3-0)

glmRob.misclass.control: 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

See Also

glmRob