gam.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_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
     'gam' to obtain the design matrix and penalty matrices for a GAM
     set up using penalized regression splines. This is done by calling
     a mixture of R routines and compiled C code.  For further
     information on usuage see code for 'gam'.

_A_u_t_h_o_r(_s):

     Simon N. Wood simon@stats.gla.ac.uk

_R_e_f_e_r_e_n_c_e_s:

     Gu and Wahba (1991) Minimizing GCV/GML scores with multiple
     smoothing parameters via the Newton method. SIAM J. Sci. Statist.
     Comput. 12:383-398

     Wood, S.N. (2000)  Modelling and Smoothing Parameter Estimation
     with Multiple  Quadratic Penalties. J.R.Statist.Soc.B
     62(2):413-428

     Wood, S.N. (2003) Thin plate regression splines. J.R.Statist.Soc.B
     65(1):95-114

     <URL: http://www.stats.gla.ac.uk/~simon/>

_S_e_e _A_l_s_o:

     'gam', 'mgcv'

