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)
hinvgauss(y, 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 *Log*normal distribution.

### Examples

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

[Package

*rmutil* version 1.0

Index]