lbinorm              package:LearnBayes              R Documentation

_L_o_g_a_r_i_t_h_m _o_f _b_i_v_a_r_i_a_t_e _n_o_r_m_a_l _d_e_n_s_i_t_y

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

     Computes the logarithm of a bivariate normal density

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

     lbinorm(xy,par)

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

      xy: matrix of values where each row corresponds to a value of (x,
          y)

     par: list with components m, a vector of means, and v, a
          variance-covariance matrix

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

     vector of values of the kernel of the log density

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

     Jim Albert

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

     mean=c(0,0)
     varcov=diag(c(1,1))
     values=rbind(c(0,0),c(1,1))
     par=list(m=mean,v=varcov)
     lbinorm(values,par)

