g                    package:pgam                    R Documentation

_U_t_i_l_i_t_y _f_u_n_c_t_i_o_n

_D_e_s_c_r_i_p_t_i_o_n:

     Collect information to smooth the term in its argument. Used in
     the model formula.

_U_s_a_g_e:

     g(var, df, fx = TRUE)

_A_r_g_u_m_e_n_t_s:

     var: variable to be smoothed

      df: equivalent degrees of freedom to be passed to the smoother

      fx: if 'FALSE', 'df' is ignored and smoothing parameter is chosen
          by cross-validation

_D_e_t_a_i_l_s:

     This function only sets things up for model fitting. The smooth
     terms are actually fitted by 'pgam.smooth'.

_V_a_l_u_e:

     List containing the same elements of its argument.

_N_o_t_e:

     This function is intended to be called from within a model
     formula.

_A_u_t_h_o_r(_s):

     Washington Leite Junger 
      wjunger@ims.uerj.br

_R_e_f_e_r_e_n_c_e_s:

     Green, P. J., Silverman, B. W. (1994) Nonparametric Regression and
     Generalized Linear Models: a roughness penalty approach. Chapman
     and Hall, London

     Hastie, T. J., Tibshirani, R. J.(1990) Generalized Additive
     Models. Chapman and Hall, London

     Junger, W. L. (2004) Modelo Poisson-Gama Semi-Paramtrico: Uma
     Abordagem de Penalizao por Rugosidade. MSc Thesis. Rio de
     Janeiro, PUC-Rio, Departamento de Engenharia Eltrica

_S_e_e _A_l_s_o:

     'pgam', 'pgam.parser'

