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R-BGSIMD - Block Gibbs Sampler with Incomplete Multinomial Distribu

Description:

Implement an efficient block Gibbs sampler with incomplete data from a
multinomial distribution taking values from the k categories 1,2,...,k,
where data are assumed to miss at random and each missing datum belongs to
one and only one of m distinct non-empty proper subsets A1, A2,..., Am of
1,2,...,k and the k categories are labelled such that only consecutive A's
may
overlap.

Packages

- initial package for Fedora

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