Computes the Mallows Type Estimator provided by glmRob.
glmRob.mallows(x, y, control, offset, null.dev, family, Terms)
model matrix
a numeric vector of Bernoulli responses.
control parameters.
offset
a logical value. If TRUE the null deviance is computed and stored.
TRUE
a binomial family object.
the Terms object created in glmRob.
Terms
a list similar to glmRob.object.
glmRob.object
link{glmRob}
# NOT RUN { data(mallows.dat) glmRob(y ~ a + b + c, data = mallows.dat, family = binomial(), method = 'mallows') # }
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