gam.setup {mgcv} | R Documentation

## 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`.

### Author(s)

Simon N. Wood simon.wood@r-project.org

### 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, S.N. (2000) Modelling and Smoothing Parameter Estimation with Multiple Quadratic Penalties. J.R.Statist.Soc.B 62(2):413-428

Wood, S.N. (2003) Thin plate regression splines. J.R.Statist.Soc.B 65(1):95-114

http://www.maths.bath.ac.uk/~sw283/

### See Also

`gam`, `gamm`, `magic`, `mgcv`

[Package mgcv version 1.3-17 Index]