AIC                 package:depmixS4                 R Documentation

_C_o_m_p_u_t_e _A_I_C _a_n_d _B_I_C _f_o_r (_d_e_p-)_m_i_x _o_b_j_e_c_t_s

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

     Compute AIC and BIC for 'depmix' and 'mix' objects.

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

             AIC(object, ..., k = 2)
             BIC(object, ...)

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

  object: A 'depmix' or 'mix' model.

     ...: Not used currently.

       k: The penalty factor which defaults to 2.

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

     The 'n' that is used in the BIC is 'sum(ntimes(object))', where
     object is the model under consideration.

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

     The value of the AIC or BIC respectively.

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

     Ingmar Visser

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

     H. Akaike. Information theory and an extension of the maximum
     likelihood  principle. In B. N. Petrov and F. Csaki, editors,
     Second International Symposium on Information Theory, p. 267-281.
     Budapest: Academiai Kiado, 1973.

     G. Schwarz. Estimating the dimension of a model. Annals of
     Statistics,  volume 6, p. 4761-464, 1978.

