Inverse Gaussian Distribution
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.
dinvgauss(y, m, s, log=FALSE) pinvgauss(q, m, s) qinvgauss(p, m, s) rinvgauss(n, m, 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. |
J.K. Lindsey
dinvgauss(5, 5, 1) pinvgauss(5, 5, 1) qinvgauss(0.8, 5, 1) rinvgauss(10, 5, 1)
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