Description Usage Arguments Details

Function to compute/extract a `pmodel`

function

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

`object` |
an object of class |

`...` |
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]

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