CONTmLL                 package:nem                 R Documentation

_M_a_r_g_i_n_a_l _l_i_k_e_l_i_h_o_o_d _o_f _a _p_h_e_n_o_t_y_p_i_c _h_i_e_r_a_r_c_h_y _w_i_t_h _c_o_n_t_i_n_u_o_u_s _d_a_t_a

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

     computes the marginal likelihood of observed phenotypic data given
     a phenotypic hierarchy.

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

     CONTmLL(Phi, prob.inf, Pe)

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

     Phi: an adjacency matrix with unit main diagonal

prob.inf: matrix of influence probabilities

      Pe: prior of effect reporter positions in the phenotypic
          hierarchy

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

     It computes the marginal likelihood of a single phenotypic
     hierarchy. Usually called from within the function 'score'.

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

     mLL: marginal likelihood of a phenotypic hierarchy

     pos: posterior distribution of effect positions in the hierarchy

  mappos: Maximum aposteriori estimate of effect positions

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

     Matthias Maneck

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

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

     'score', 'mLL', 'FULLmLL', 'nem.cont.preprocess'

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

        data("BoutrosRNAi2002")
        pre <- nem.cont.preprocess(BoutrosRNAiExpression,neg.control=1:4,pos.control=5:8)
        result <- nem(pre$prob.influenced, type="CONTmLL")

