This function computes the prior on the number of clusters, i.e. occupied components of the mixture for a Finite Dirichlet process when the prior on the component-weights of the mixture is a
Dirichlet with parameter
gamma (i.e. when unnormalized weights are distributed as Gamma(γ,1)). This function can be used when the prior on the number of
components is Shifted Poisson of parameter
Lambda. See \insertCiteargiento2019infinityAntMAN for more details.
The sample size.
There are no default values.
AM_prior object, that is a vector of length n, reporting the values of the prior on the number of clusters induced by the prior on
k=1,...,n. See \insertCiteargiento2019infinityAntMAN for more details.
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