smooth.construct.tensor.smooth.spec   package:mgcv   R Documentation

_T_e_n_s_o_r _p_r_o_d_u_c_t _s_m_o_o_t_h_i_n_g _c_o_n_s_t_r_u_c_t_o_r

_D_e_s_c_r_i_p_t_i_o_n:

     A special 'smooth.construct' method function for creating tensor
     product smooths from any combination of single penalty marginal
     smooths.

_U_s_a_g_e:

     ## S3 method for class 'tensor.smooth.spec':
     smooth.construct(object, data, knots)

_A_r_g_u_m_e_n_t_s:

  object: a smooth specification object of class 'tensor.smooth.spec', 
          usually generated by a term like 'te(x,z)' in a 'gam' model
          formula

    data: a list containing just the data (including any 'by' variable)
          required by this term,  with names corresponding to
          'object$term' (and 'object$by'). The 'by' variable  is the
          last element.

   knots: a list containing any knots supplied for basis setup - in
          same order and with same names as 'data'.  Can be 'NULL'. See
          details for further information.

_D_e_t_a_i_l_s:

     Tensor product smooths are smooths of several variables which
     allow the degree of smoothing to be different with respect to
     different variables. They are useful as smooth interaction terms,
     as they are invariant to linear rescaling of the covariates, which
     means, for example, that they are insensitive to the measurement
     units of the different covariates. They are also useful  whenever
     isotropic smoothing is inappropriate. See 'te', 'smooth.construct'
     and  'smooth.terms'.

_V_a_l_u_e:

     An object of class '"tensor.smooth"'. See 'smooth.construct',  for
     the elements that this object will contain.

_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. (2006) Low rank scale invariant tensor product smooths
     for generalized additive mixed models. Biometrics 62(4):1025-1036

_S_e_e _A_l_s_o:

     'cSplineDes'

_E_x_a_m_p_l_e_s:

     ## see ?gam