nVarParams              package:mclust              R Documentation

_N_u_m_b_e_r _o_f _V_a_r_i_a_n_c_e _P_a_r_a_m_e_t_e_r_s _i_n _G_a_u_s_s_i_a_n _M_i_x_t_u_r_e _M_o_d_e_l_s

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

     Gives the number of variance parameters for parameterizations of
     the  Gaussian mixture model that are used in MCLUST.

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

     nVarParams(modelName, d, G)

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

modelName: A character string indicating the model. The help file for
          'mclustModelNames' describes the available models. 

       d: The dimension of the data. Not used for models in which
          neither the shape nor the orientation varies. 

       G: The number of components in the Gaussian mixture model used
          to compute 'loglik'. 

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

     To get the total number of parameters in model, add 'G*d' for the
     means and 'G-1' for the mixing proportions if they are unequal.

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

     The number of variance parameters in the corresponding Gaussian
     mixture model.

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

     C. Fraley and A. E. Raftery (2002). Model-based clustering,
     discriminant analysis, and density estimation. _Journal of the
     American Statistical Association 97:611:631_. 

     C. Fraley and A. E. Raftery (2006). MCLUST Version 3 for R: Normal
     Mixture Modeling and Model-Based Clustering,  Technical Report no.
     504, Department of Statistics, University of Washington.

_S_e_e _A_l_s_o:

     'bic'

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

     sapply(.Mclust$emModelNames, nVarParams, d=2, G=1)

