discint              package:LearnBayes              R Documentation

_H_i_g_h_e_s_t _p_r_o_b_a_b_i_l_i_t_y _i_n_t_e_r_v_a_l _f_o_r _a _d_i_s_c_r_e_t_e _d_i_s_t_r_i_b_u_t_i_o_n

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

     Computes a highest probability interval for a discrete probability
     distribution

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

     discint(dist, prob)

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

    dist: probability distribution written as a matrix where the first
          column contain the values and the second column  the
          probabilities

    prob: probability content of interest

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

    prob: exact probability content of interval

     set: set of values of the probability interval

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

     Jim Albert

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

     x=0:10
     probs=dbinom(x,size=10,prob=.3)
     dist=cbind(x,probs)
     pcontent=.8
     discint(dist,pcontent)

