EMAlgo               package:MixThres               R Documentation

_E_M _a_l_g_o_r_i_t_h_m

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

     EM algorithm to estimate the parameters of the mixture model.

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

     EMAlgo(mdata, param, stop.crit)

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

mdata       : A vector of numeric. 

param       : A vector of parameters. 

stop.crit   : The stopping relative precision limit for stopping EM
          algorithm. 

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

     The traditionnal EM algorithm of Depster et al. is modified in
     order to correct the mean and variance biaises du to the
     truncatures by including a fixed-point algorithm in the M-step.
     Then the vector epsilon algorithm is used to accelerate the
     convergence of the EM algorithm.

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

     A list of result of the logLike function and a matrix of the
     posterior probabilities of belonging to each component of the
     mixture for each probe.

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

     J. Aubert

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

     Picard et al., Using mixture models to define a hybridization
     threshold in DNA microarray experiments.

     Kuroda M., Sakakihara M., (2006), Accelerating the convergence of
     the EM algorithm using the vector epsilon algorithm, Computational
     Statistics & Data Analysis 51.

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

     'hybridization'

