gamm.setup {mgcv} | R Documentation |
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.
Simon N. Wood simon.wood@r-project.org
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/