Description Usage Arguments Details

Function to compute/extract a function that returns the information
matrix for an object of class `glm`

/`enriched_glm`

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

`object` |
an object of class |

`...` |
currently not used |

The computed/extracted function has arguments

- coefficients
the regression coefficients at which the information matrix is evaluated. If missing then the maximum likelihood estimates are used

- dispersion
the dispersion parameter at which the information matrix is evaluated. If missing then the maximum likelihood estimate is used

- type
should the function return th 'expected' or 'observed' information? Default is

`expected`

- QR
If

`TRUE`

, then the QR decomposition of*W^{1/2} X*is returned, where

*W*is a diagonal matrix with the working weights (

`object$weights`

) and*X*is the model matrix.

- CHOL
If

`TRUE`

, then the Cholesky decomposition of the information matrix at the coefficients is returned

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