pdisc               package:LearnBayes               R Documentation

_P_o_s_t_e_r_i_o_r _d_i_s_t_r_i_b_u_t_i_o_n _f_o_r _a _p_r_o_p_o_r_t_i_o_n _w_i_t_h _d_i_s_c_r_e_t_e _p_r_i_o_r_s

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

     Computes the posterior distribution for a proportion for a
     discrete prior distribution.

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

     pdisc(p, prior, data)

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

       p: vector of proportion values

   prior: vector of prior probabilities

    data: vector consisting of number of successes and number of
          failures

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

     vector of posterior probabilities

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

     Jim Albert

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

     p=c(.2,.25,.3,.35)
     prior=c(.25,.25,.25,.25)
     data=c(5,10)
     pdisc(p,prior,data)

