Description Usage Arguments Details Value Author(s) References See Also

Auxiliary function as user interface for `brglm`

fitting. Typically only used when calling `brglm`

or `brglm.fit`

.

1 2 | ```
brglm.control(br.epsilon = 1e-08, br.maxit = 100, br.trace=FALSE,
br.consts = NULL, ...)
``` |

`br.epsilon` |
positive convergence tolerance for the iteration
described in |

`br.maxit` |
integer giving the maximum number of iterations for
the iteration in |

`br.trace` |
logical indicating if output should be prooduced for each iteration. |

`br.consts` |
a (small) positive constant or a vector of such. |

`...` |
further arguments passed to or from other methods. |

If `br.trace=TRUE`

then for each iteration the iteration number
and the current value of the modified scores is
`cat`

'ed. If `br.consts`

is specified then `br.consts`

is added to the original binomial counts and `2*br.consts`

. Then
the model is fitted to the adjusted data to provide starting values
for the iteration in `brglm.fit`

. If `br.consts = NULL`

(default) then `brglm.fit`

adjusts the responses and totals by
"number of parameters"/"number of observations" and twice that, respectively.

A list with the arguments as components.

Ioannis Kosmidis, [email protected]

Kosmidis, I. (2007). Bias reduction in exponential family nonlinear
models. *PhD Thesis*, Department of Statistics, University of
Warwick.

`brglm.fit`

, the fitting procedure used by
`brglm`

.

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