mergeFunc                package:aCGH                R Documentation

_F_u_n_t_i_o_n _t_o _m_e_r_g_e _s_t_a_t_e_s _b_a_s_e_d _o_n _t_h_e_i_r _s_t_a_t_e _m_e_a_n_s

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

     This function takes an output of hmm.run.fun (states.hmm) with a
     particular model selection criterion andietratively merges the
     states which means are closer than a supplied threshold.

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

     mergeFunc(statesres = states.bic, minDiff = 0.1)

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

statesres: the sublist of the states.hmm list output from
          find.hmm.states for a given model selection crterion

 minDiff: The states whose predicted values are less than minDiff apart
          are merged into one state and all the predicited values are
          recomputed

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

     This function is intended to reduce effect of the possible small
     magnitude technological artifcats on the structure determination.

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

     List containing states.hmm object is returned.

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

     Jane Fridlyand

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

     Application of Hidden Markov Models to the analysis of the array
     CGH data, Fridlyand et.al., _JMVA_, 2004

