R: Generalized additive mixed model set up

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 `gammPQL` or `lme` from the `nlme` library. The main task is the representation of the smooth terms as random effects. The routine first calls `gam.setup`, then checks that a model estimable by `gamm` has been specified in the model formula, and then transforms the problem to a form suitable for mixed model estimation.

### 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. (2006a) Low rank scale invariant tensor product smooths for generalized additive mixed models. Biometrics 62(4):1025-1036

Wood S.N. (2006b) Generalized Additive Models: An Introduction with R. Chapman and Hall/CRC Press.

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

### See Also

`gamm`

[Package mgcv version 1.4-1.1 Index]