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. (2004a) Stable and efficient multiple smoothing parameter estimation for generalized additive models. Journal of the American Statistical Association.

Wood, S.N. (2004b) Low rank scale invariant tensor product smooths for Generalized Additive Mixed Models. Technical Report of the Department of Statistics, University of Glasgow, UK.

http://www.stats.gla.ac.uk/~simon/

### See Also

`gamm`

[Package mgcv version 1.3-1 Index]