Inverse Gaussian Distribution

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Description

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.

Usage

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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(s)

J.K. Lindsey

See Also

dnorm for the normal distribution and dlnorm for the Lognormal distribution.

Examples

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

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