Inverse Gaussian           package:rmutil           R Documentation

_I_n_v_e_r_s_e _G_a_u_s_s_i_a_n _D_i_s_t_r_i_b_u_t_i_o_n

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

     These functions provide information about the inverse Gaussian
     distribution with mean equal to 'm' and dispersion equal to 's':
     density, cumulative distribution, quantiles, log hazard, and
     random generation.

     The inverse Gaussian distribution has density

         f(y) = 1/sqrt(2 pi s y^3) e^-((y - m)^2/(2 y s m^2))

     where m is the mean of the distribution and s is the dispersion.

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

     dinvgauss(y, m, s, log=FALSE)
     pinvgauss(q, m, s)
     qinvgauss(p, m, s)
     hinvgauss(y, m, s)
     rinvgauss(n, m, s)

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

       y: vector of responses.

       q: vector of quantiles.

       p: vector of probabilities

       n: number of values to generate

       m: vector of means.

       s: vector of dispersion parameters.

     log: if TRUE, log probabilities are supplied.

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

     J.K. Lindsey

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

     'dnorm' for the normal distribution and 'dlnorm' for the
     _Log_normal distribution.

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

     dinvgauss(5, 5, 1)
     pinvgauss(5, 5, 1)
     qinvgauss(0.8, 5, 1)
     rinvgauss(10, 5, 1)

