Function to compute/extract a
an object of class
currently not used
The computed/extracted function has arguments
a data frame with observations at which to compute the
distribution function. If missing then probabilities are computed
at the model frame extracted from the object (see
the regression coefficients at which the distribution function are computed. If missing then the maximum likelihood estimates are used
the dispersion parameter at which the distribution function is computed. If missing then the maximum likelihood estimate is used
TRUE, the logarithm of the
distribution function is returned
TRUE (default), probabilities
are P[X <= x] otherwise, P[X > x]
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