Description Usage Arguments Value Note Examples

MCMC runs of posterior distribution of data with `Gamma(alpha,beta)`

density.

1 |

`data` |
data vector |

`int` |
number of iteractions selected in MCMC. The program selects 1 in each 10
iteractions, then |

An object of class `gammap`

that gives a list containing the points of posterior distributions of `alpha`

and `beta`

of the gamma distribution, the data, mean posterior, median posterior and the credibility interval of the parameters.

The non-informative prior distribution of these parameters are both
`Gamma(0.0001,0.0001)`

. During the MCMC runs, screen shows the proportion of iteractions made

1 2 3 4 5 |

MCMC4Extremes documentation built on May 29, 2017, 11:50 a.m.

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.