DiscreteMVDistribution        package:distrEx        R Documentation

_G_e_n_e_r_a_t_i_n_g _f_u_n_c_t_i_o_n _f_o_r _D_i_s_c_r_e_t_e_M_V_D_i_s_t_r_i_b_u_t_i_o_n-_c_l_a_s_s

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

     Generates an object of class '"DiscreteMVDistribution"'.

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

       DiscreteMVDistribution(supp, prob)
       DiscreteMVDistribution(supp)

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

    supp: numeric matrix whose rows form the support  of the discrete
          multivariate distribution. 

    prob: vector of probability weights for the  elements of 'supp'.

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

     Identical rows are collapsed to unique support values.  If 'prob'
     is missing, all elements in 'supp' are equally weighted.

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

     Object of class '"DiscreteMVDistribution"'

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

     Matthias Kohl Matthias.Kohl@stamats.de

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

     'DiscreteMVDistribution-class'

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

     # Dirac-measure at (0,0,0)
     D1 <- DiscreteMVDistribution(supp = c(0,0,0))
     support(D1)

     # simple discrete distribution
     D2 <- DiscreteMVDistribution(supp = matrix(c(0,1,0,2,2,1,1,0), ncol=2), 
                     prob = c(0.3, 0.2, 0.2, 0.3))
     support(D2)
     r(D2)(10)

