Description Usage Arguments Details

Function to compute/extract a simulate function for response
vectors from an object of class `glm`

/`enriched_glm`

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

`object` |
an object of class |

`...` |
currently not used |

The computed/extracted simulate function has arguments

- coefficients
the regression coefficients at which the response vectors are simulated. If missing then the maximum likelihood estimates are used

- dispersion
the dispersion parameter at which the response vectors are simulated. If missing then the maximum likelihood estimate is used

- nsim
number of response vectors to simulate. Defaults to

`1`

- seed
an object specifying if and how the random number generator should be initialized ('seeded'). It can be either

`NULL`

or an integer that will be used in a call to`set.seed`

before simulating the response vectors. If set, the value is saved as the`seed`

attribute of the returned value. The default,`NULL`

will not change the random generator state, and return`.Random.seed`

as the`seed`

attribute, see`Value`

enrichwith documentation built on May 5, 2018, 1:04 a.m.

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