

Beta Binomial(rmutil)                        R Documentation

_T_h_e _B_e_t_a _B_i_n_o_m_i_a_l _D_i_s_t_r_i_b_u_t_i_o_n

_U_s_a_g_e_:

     dbetabinom(y, n, m, s)
     pbetabinom(q, n, m, s)

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

       y: vector of frequencies

       q: vector of quantiles

       n: vector of totals

       m: vector of probabilities

       s: vector of overdispersion parameters

_V_a_l_u_e_:

     These functions provide information about the beta
     binomial distribution with parameters `m' and `s'.
     `dbetabinom' gives the density and `pbetabinom' gives
     the distribution function.

     The beta binomial distribution with total = n and
     `prob' = m has density

          p(y) = B(y+s m,n-y+s (1-m)) Choose(n,y) / B(s m,s (1-m))

     for y = 0, ..., n where B() is the beta function.

_A_u_t_h_o_r_(_s_)_:

     J.K. Lindsey

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

     `dbinom' for the binomial, `ddoublebinom' for the dou-
     ble binomial, and `dmultbinom' for the multiplicative
     binomial distribution.

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

     # Compute P(45 < y < 55) for y beta binomial(100,0.5,1.1)
     sum(dbetabinom(46:54, 100, 0.5, 1.1))
     pbetabinom(54,100,0.5,1.1)-pbetabinom(45,100,0.5,1.1)

