

Inverse Gaussian(rmutil)                     R Documentation

_T_h_e _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 dis-
     persion equal to `s'.  `dinvgauss' gives the density,
     `pinvgauss' gives the distribution function, `hin-
     vgauss' gives the hazard function.

     The inverse Gaussian distribution has density

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

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

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

     dinvgauss(y, m, s)
     pinvgauss(q, m, s)
     hinvgauss(y m, s)

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

       y: vector of responses.

       q: vector of quantiles.

       m: vector of means.

       s: vector of dispersion parameters.

_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 Lognormal distribution.

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

     dinvgauss(5, 5, 1)
     pinvgauss(5, 5, 1)

