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.

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

     ## S4 method for signature 'flexmix':
     cluster(object)
     ## S4 method for signature 'flexmix':
     parameters(object, component=1, model=1)
     ## S4 method for signature 'flexmix':
     posterior(object)

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

  object: An object of class "flexmix".

component: Number of component.

   model: Number of model.

_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.

     '_k': Number of clusters.

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

     '_s_i_z_e': Cluster sizes.

     '_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.

     '_g_r_o_u_p': Object of class '"factor"'.

     '_c_o_n_v_e_r_g_e_d' Logical, 'TRUE' if EM algorithm converged.

_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:

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

     '_p_a_r_a_m_e_t_e_r_s': The parameters for each model and component, return
          value depends on the model.

     '_p_o_s_t_e_r_i_o_r': A matrix of posterior probabilities for each
          observation.

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

     Friedrich Leisch

