R: Control for Misclassification Robust GLM Estimator

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 0.4-18.1 Index]