BGSIMD: Block Gibbs Sampler with Incomplete Multinomial Distribution

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.

AuthorKwang Woo Ahn <kwooahn@mcw.edu>, Kung-Sik Chan <kung-sik-chan@uiowa.edu>
Date of publication2012-10-29 13:13:36
MaintainerKwang Woo Ahn <kwooahn@mcw.edu>
LicenseGPL (>= 2)
Version1.0

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