gamm.setup               package:mgcv               R Documentation

_G_e_n_e_r_a_l_i_z_e_d _a_d_d_i_t_i_v_e _m_i_x_e_d _m_o_d_e_l _s_e_t _u_p

_D_e_s_c_r_i_p_t_i_o_n:

     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.

_A_u_t_h_o_r(_s):

     Simon N. Wood simon.wood@r-project.org

_R_e_f_e_r_e_n_c_e_s:

     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/>

_S_e_e _A_l_s_o:

     'gamm'

