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
$$
f(y) =
\frac{1}{\sqrt{2\pi\sigma y^3}} e^{-(y-\mu)^2/(2 y \sigma m^2)}$$
where \(\mu\) is the mean of the distribution and
\(\sigma\) is the dispersion.
Usage
dinvgauss(y, m, s, log=FALSE)
pinvgauss(q, m, s)
qinvgauss(p, m, s)
rinvgauss(n, m, s)
Arguments
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.
Author
J.K. Lindsey
See Also
dnorm for the normal distribution and
dlnorm for the Lognormal distribution.