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One of the pre-requisites for implementing the inverse-CDF (quantile) of the Gamma distribution is the hypergeometric 2F2 function, which is needed for the gradients.
The gradients are the same for the 2F2 and the generalised pFq, so may as well implement the more generalised version
Current Version:
v4.1.0
The text was updated successfully, but these errors were encountered:
Hi @andrjohns, I am working on the N-mixture model to estimate abundance from count data. The model relies on the hypergeometric_2F2 and hypergeometric_3F2 functions. Has/will these functions be implemented/exposed in stan?
Description
One of the pre-requisites for implementing the inverse-CDF (quantile) of the Gamma distribution is the hypergeometric 2F2 function, which is needed for the gradients.
The gradients are the same for the 2F2 and the generalised pFq, so may as well implement the more generalised version
Current Version:
v4.1.0
The text was updated successfully, but these errors were encountered: