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mgcv (version 0.8-2)

gam.setup: Generalized Additive Model set up.

Description

This is an internal function of package mgcv. It is called by gam to obtain the design matrix and penalty matrices for a GAM set up using penalized regression splines. This is done by calling a mixture of R routines and compiled C code. For further information on usuage see code for gam.

Arguments

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

Wood (2003) Thin plate regression splines. JRSSB in press

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

See Also

gam, mgcv