BVclmat                package:Icens                R Documentation

_C_o_m_p_u_t _t_h_e _c_l_i_q_u_e _m_a_t_r_i_x _f_r_o_m _t_h_e _c_l_i_q_u_e _l_i_s_t.

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

     Given the clique list, obtained from 'BVcliques', the clique
     matrix is obtained. This is the m (number of cliques) by n (number
     of observations) matrix. A[i,j] is one if individual j is in
     maximal clique i.

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

     BVclmat(cliques)

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

 cliques: The clique list. 

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

     The m by n clique matrix.

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

     A. Vandal and R. Gentleman

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

     _Graph-Theoretical Aspects of Bivariate Censored Data_, R.
     Gentleman and A. Vandal, 1999, submitted.

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

     'BVcliques', 'BVsupport'

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

        data(cmv)
        bcl <- BVcliques(cmv[,1:2], cmv[,3:4])
        A <- BVclmat(bcl)

