aicplot                package:locfit                R Documentation

_C_o_m_p_u_t_e _a_n _A_I_C _p_l_o_t.

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

     The 'aicplot' function loops through calls to the 'aic' function
     (and hence to 'link{locfit}'), using a different smoothing
     parameter for each call. The returned structure contains the AIC
     statistic for each fit, and can be used to produce an AIC plot.

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

     aicplot(..., alpha)

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

     ...: arguments to the 'aic', 'locfit' functions.

   alpha: Matrix of smoothing parameters. The 'aicplot' function loops
          through calls to 'aic', using each row of 'alpha' as the
          smoothing parameter in turn. If 'alpha' is provided as a
          vector, it will be converted to a one-column matrix, thus
          interpreting each component as a nearest neighbor smoothing
          parameter.

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

     An object with class '"gcvplot"', containing the smoothing
     parameters and AIC scores. The actual plot is produced using
     'plot.gcvplot'.

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

     'locfit', 'locfit.raw', 'gcv', 'aic', 'plot.gcvplot'

_E_x_a_m_p_l_e_s:

     data(morths)
     plot(aicplot(deaths~age,weights=n,data=morths,family="binomial",alpha=seq(0.2,1.0,by=0.05)))

