robust: glmRob.misclass.control – R documentation

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glmRob.misclass.control

Control for Misclassification Robust GLM Estimator

Allows users to set parameters for glmRob.

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

`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.

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.