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 |
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