Inverse Gaussian Distribution
Density, cumulative probability, quantiles and random generation for the inverse Gaussian distribution.
dinvgauss(x, mu = stop("no shape arg"), lambda = 1)
pinvgauss(q, mu = stop("no shape arg"), lambda = 1)
rinvgauss(n, mu = stop("no shape arg"), lambda = 1)n |
Integer |
q, x |
Real |
mu,lambda |
positve array of integers, means and scaling parameter |
dinvgauss: Inverse Gaussian distribution function pinvgauss: Random variates from inverse Gaussian distribution rinvgauss: Quantiles of the inverse Gaussian distribution
p(x) = sqrt(lambda/(2*pi*x^3))e^{-lambda(x-mu)^2/(2*x mu^2)}
Gordon Smyth, gks@maths.uq.edu.au, from sources of <paul.bagshaw@cnet.francetelecom.fr> e.a.
Chhikara and Folks, The Inverse Gaussian Distribution, Marcel Dekker, 1989. http://en.wikipedia.org/wiki/Inverse_Gaussian_distribution
n <- 10;
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