gam.control | R Documentation |

Auxiliary function as user interface for 'gam' fitting. Typically only used when calling 'gam' or 'gam.fit'.

gam.control( epsilon = 1e-07, bf.epsilon = 1e-07, maxit = 30, bf.maxit = 30, trace = FALSE, ... )

`epsilon` |
convergence threshold for local scoring iterations |

`bf.epsilon` |
convergence threshold for backfitting iterations |

`maxit` |
maximum number of local scoring iterations |

`bf.maxit` |
maximum number of backfitting iterations |

`trace` |
should iteration details be printed while |

`...` |
placemark for additional arguments |

a list is returned, consisting of the five parameters, conveniently
packaged up to supply the `control`

argument to `gam`

. The values
for `gam.control`

can be supplied directly in a call to `gam`

;
these are then filtered through `gam.control`

inside `gam`

.

Hastie, T. J. (1992) *Generalized additive models.* Chapter
7 of *Statistical Models in S* eds J. M. Chambers and T. J. Hastie,
Wadsworth & Brooks/Cole.

## Not run: gam(formula, family, control = gam.control(bf.maxit=15)) ## Not run: gam(formula, family, bf.maxit = 15) # these are equivalent

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