BIC                  package:FLCore                  R Documentation

_B_a_y_e_s_i_a_n _i_n_f_o_r_m_a_t_i_o_n _c_r_i_t_e_r_i_o_n (_B_I_C) _m_e_t_h_o_d

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

     A method to calculate the Bayesian information criterion (BIC),
     also known as Schwarz's  Bayesian criterion of an FLModel object
     from the value of the obtained log-likelihood stored in its
     'logLik' slot.

_G_e_n_e_r_i_c _f_u_n_c_t_i_o_n:

     BIC(object)

_M_e_t_h_o_d_s:


      _s_i_g_n_a_t_u_r_e(_o_b_j_e_c_t=_F_L_M_o_d_e_l) : BIC of an FLModel object with an
          specified  value for the "penalty".

      _s_i_g_n_a_t_u_r_e(_o_b_j_e_c_t=_F_L_M_o_d_e_l, _k=_m_i_s_s_i_n_g) : AIC of an FLModel object
          for which no value of "penalty" is specified, thus k=2.

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

     The FLR Team

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

     BIC, AIC, FLModel, logLik

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

     data(nsher)
     BIC(nsher)

