get_pmodel_function.glm: Function to compute/extract a 'pmodel' function
In enrichwith: Methods to Enrich R Objects with Extra Components

Function to compute/extract a pmodel function

1 2	## S3 method for class 'glm' get_pmodel_function(object, ...)

`object`	an object of class `glm` or`enriched_glm`
`...`	currently not used

The computed/extracted function has arguments

data: 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 glm)
coefficients: the regression coefficients at which the distribution function are computed. If missing then the maximum likelihood estimates are used
dispersion: the dispersion parameter at which the distribution function is computed. If missing then the maximum likelihood estimate is used
log.p: logical; if TRUE, the logarithm of the distribution function is returned
lower.tail: logical; if TRUE (default), probabilities are P[X <= x] otherwise, P[X > x]