bincorr2commonprob          package:bindata          R Documentation

_C_o_n_v_e_r_t _B_i_n_a_r_y _C_o_r_r_e_l_a_t_i_o_n _M_a_t_r_i_x _t_o _M_a_t_r_i_x _o_f _J_o_i_n_t
_P_r_o_b_a_b_i_l_i_t_i_e_s

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

     Compute a matrix of common probabilites for a binary random vector
     from given marginal probabilities and correlations.

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

     bincorr2commonprob(margprob, bincorr)

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

margprob: vector of marginal probabilities.

 bincorr: matrix of binary correlations.

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

     The matrix of common probabilities.  This has the probabilities
     that variable i equals 1 in element (i,i), and the joint
     probability that variables i and j both equal 1 in element (i,j)
     (if i != j).

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

     Friedrich Leisch

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

     Friedrich Leisch, Andreas Weingessel and Kurt Hornik (1998). On
     the generation of correlated artificial binary data. Working Paper
     Series, SFB ``Adaptive Information Systems and Modelling in
     Economics and Management Science'', Vienna University of
     Economics, <URL: http://www.wu-wien.ac.at/am>

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

     'commonprob2sigma', 'simul.commonprob'.

