Set Control Parameters for Generalized Linear Model
DESCRIPTION:
Allows users to set parameters for glm.
USAGE: 
glm.control(epsilon = 0.0001, maxit = 10, trace = F)
OPTIONAL ARGUMENTS:
epsilon:
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:
should iteration details be printed while glm() is fitting the model.
VALUE:
a list is returned, consisting of the three parameters, 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(formula, family, control = glm.control(maxit = 15))
glm(formula, family, maxit = 15) # these are equivalent