Description Usage Arguments Author(s) See Also Examples

These functions provide information about the Pareto distribution
with location parameter equal to `m`

and dispersion equal to
`s`

: density, cumulative distribution, quantiles, log hazard, and
random generation.

The Pareto distribution has density

*
f(y) = s (1 + y/(m (s-1)))^(-s-1)/(m (s-1))*

where *m* is the mean parameter of the distribution and
*s* is the dispersion.

This distribution can be obtained as a mixture distribution from the exponential distribution using a gamma mixing distribution.

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`y` |
vector of responses. |

`q` |
vector of quantiles. |

`p` |
vector of probabilities |

`n` |
number of values to generate |

`m` |
vector of location parameters. |

`s` |
vector of dispersion parameters. |

`log` |
if TRUE, log probabilities are supplied. |

J.K. Lindsey

`dexp`

for the exponential distribution.

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