flexmix-class            package:flexmix            R Documentation

_C_l_a_s_s "_f_l_e_x_m_i_x"

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

     A fitted 'flexmix' model.

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

     Objects are typically created by calling function 'flexmix'.

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

     '_m_o_d_e_l': List of 'FLXmodel' objects.

     '_p_r_i_o_r': Numeric vector with prior probabilities of clusters.

     '_p_o_s_t_e_r_i_o_r': Named list with elements 'scaled' and 'unscaled',
          both matrices with one row per observation and one column per
          cluster.

     '_i_t_e_r': Number of EM iterations.

     '_c_l_u_s_t_e_r': Cluster assignments of observations.

     '_l_o_g_L_i_k': Log-likelihood at EM convergence.

     '_d_f': Total number of parameters of the model.

     '_c_o_m_p_o_n_e_n_t_s': List describing the fitted components using
          'FLXcomponent' objects.

     '_f_o_r_m_u_l_a': Object of class '"formula"'.

     '_c_o_n_t_r_o_l': Object of class '"FLXcontrol"'.

     '_c_a_l_l': The function call used to create the object.

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

     _A_I_C 'signature(object = "flexmix")': calculate Akaike's
          information criterion.

     _B_I_C 'signature(object = "flexmix")': calculate the Bayesian
          information criterion.

     _l_o_g_L_i_k 'signature(object = "flexmix")': calculate the
          log-likelihood for the model.

     _p_a_r_a_m_e_t_e_r_s 'signature(object = "flexmix")': extract parameters of
          model components.

     _p_r_e_d_i_c_t 'signature(object = "flexmix")': predict response for new
          data.

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

     Friedrich Leisch

