Compute the generalized leverages values for fitted models.
Usage
gleverage(model, ...)
Arguments
model
a model object.
...
further arguments passed to methods.
Value
gleverage is a new generic for computing generalized leverage values as suggested by
Wei, Hu, and Fung (1998). Currently, there is only a method for betareg models, implementing
the formulas from Rocha and Simas (2011) which are consistent with the formulas from
Ferrari and Cribari-Neto (2004) for the fixed dispersion case.
Currently, the vector of generalized leverages requires computations and
storage of order n x n.
References
Ferrari, S.L.P., and Cribari-Neto, F. (2004).
Beta Regression for Modeling Rates and Proportions.
Journal of Applied Statistics, 31(7), 799–815.