# gam.control

0th

Percentile

##### Setting Generalized Additive Models fitting defaults

This is an internal function of package mgcv. It is a modification of the function glm.control. It enables the user to set defaults for convergence tolerance and maximum number of iterations when using gam. See glm.control for more information.

Keywords
gam, GCV, AIC, UBRE, penalized regression spline
##### WARNING

The code does not check for rank defficiency of the model matrix - it will likely just fail instead!

##### References

Gu and Wahba (1991) Minimizing GCV/GML scores with multiple smoothing parameters via the Newton method. SIAM J. Sci. Statist. Comput. 12:383-398

Wood (2000) Modelling and Smoothing Parameter Estimation with Multiple Quadratic Penalties. JRSSB 62(2):413-428

http://www.ruwpa.st-and.ac.uk/simon.html

gam gam.fit