glm.control
Set Control Parameters for Generalized Linear Model

### Description

Allows users to set parameters for glm fitting.

### Usage

    glm.control(epsilon = 1e-08, maxit = 25, trace = FALSE)

### Arguments

epsilon | a numeric value, convergence threshold. When abs(new.deviance-old.deviance)/(old.deviance + epsilon) < epsilon the algorithm is assumed to have converged.
maxit | maximum number of iterations
trace | logical flag: should iteration details be printed while glm() is fitting the model.

Value
a list is returned, consisting of the three parameters, epsilon, maxit and trace. conveniently packaged to supply the control argument to glm(). The values for glm.control() can be supplied directly in a call to glm(). These values are then filtered through glm.control() inside glm().
See Also
glm, glm.fit, glm.object.
Examples

     glm.control(maxit = 15)

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