\HeaderA{gamm.setup}{Generalized additive mixed model set up}{gamm.setup}
\keyword{models}{gamm.setup}
\keyword{smooth}{gamm.setup}
\keyword{regression}{gamm.setup}
\begin{Description}\relax
This is an internal function of package \code{mgcv}. It is called 
by \code{gamm} to set up a generalized additive mixed model in a form suitable for fitting by calls to 
\code{glmmPQL} from the \code{MASS} library or \code{lme} from the \code{nlme} library. The main task is the representation of the smooth terms as random effects.
\end{Description}
\begin{Author}\relax
Simon N. Wood \email{simon.wood@r-project.org}
\end{Author}
\begin{References}\relax
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/}
\end{References}
\begin{SeeAlso}\relax
\code{\LinkA{gamm}{gamm}}
\end{SeeAlso}

