gamm.setup               package: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.

     <URL: http://www.maths.bath.ac.uk/~sw283/>

See Also:

     'gamm'

