R: Inverse Gaussian Distribution

Inverse Gaussian {rmutil} | R Documentation

## Inverse Gaussian Distribution

### 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

    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

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

[Package rmutil version 1.1.3 Index]