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

density.

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`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

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