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.
|Author||Kwang Woo Ahn <email@example.com>, Kung-Sik Chan <firstname.lastname@example.org>|
|Date of publication||2012-10-29 13:13:36|
|Maintainer||Kwang Woo Ahn <email@example.com>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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