gamm.setup {mgcv} | R Documentation

## Generalized additive mixed model set up

### Description

This is an internal function of package `mgcv`. It is called by `gamm` to set up a generalized additive mixed model in a form suitable for fitting by calls to `glmmPQL` from the `MASS` library or `lme` from the `nlme` library. The main task is the representation of the smooth terms as random effects.

### Author(s)

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

### References

Wood, S.N. (2004) Stable and efficient multiple smoothing parameter estimation for generalized additive models. Journal of the American Statistical Association. 99:673-686

Wood, S.N. (2006) Low rank scale invariant tensor product smooths for Generalized Additive Mixed Models. Biometrics

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

### See Also

`gamm`

[Package mgcv version 1.3-17 Index]