gam.control: Setting Generalized Additive Models fitting defaults
Description
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.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