depmix-class            package:depmixS4            R Documentation

_C_l_a_s_s "_d_e_p_m_i_x"

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

     A 'depmix' model.

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



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

     '_t_r_a_n_s_i_t_i_o_n' List of 'transInit' objects.

     '_p_r_i_o_r': 'transInit' object.

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

     '_t_r_D_e_n_s': Array of dimension 'sum(ntimes)'*nstates providing the
          probability of a state transition depending on the
          predictors.

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

     '_s_t_a_t_i_o_n_a_r_y': Logical indicating whether the transitions are
          time-dependent or not; for internal use.

     '_n_t_i_m_e_s': A vector containing the lengths of independent time
          series; if data is provided, sum(ntimes) must be equal to
          nrow(data).

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

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

     '_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

