mix-class              package:depmixS4              R Documentation

_C_l_a_s_s "_m_i_x"

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

     A 'mix' model.

_O_b_j_e_c_t_s _f_r_o_m _t_h_e _C_l_a_s_s:

     Objects can be created by calls to 'mix'.

_S_l_o_t_s:


     '_r_e_s_p_o_n_s_e': List of list of 'response' objects.

     '_p_r_i_o_r': 'transInit' object; model for the prior probabilities,
          also unconditional probabilities

     '_d_e_n_s': Array of dimension sum(ntimes)*nresp*nstates providing the
          densities of the observed responses for each state.

     '_i_n_i_t': Array of dimension 'length(ntimes)'*nstates with the
          current predictions for the initial state probabilities.

     '_n_s_t_a_t_e_s': The number of states (classes) of the model.

     '_n_r_e_s_p': The number of independent responses.

     '_n_t_i_m_e_s': A vector of 1's for each case; for internal use.

     '_n_p_a_r_s': The total number of parameters of the model. This is not
          the degrees of freedom, ie there are redundancies in the
          parameters, in particular in the multinomial models for the
          transitions and prior.


_A_c_c_e_s_s_o_r _F_u_n_c_t_i_o_n_s:

     The following functions should be used for accessing the
     corresponding slots:

     '_n_p_a_r': The number of parameters of the model.

     '_n_r_e_s_p': The number of responses.

     '_n_s_t_a_t_e_s': The number of states.

     '_n_t_i_m_e_s': The vector of independent time series lengths.

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

     Ingmar Visser

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

             showClass("mix")

