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.

Version: 1.0
Published: 2012-10-29
Author: Kwang Woo Ahn, Kung-Sik Chan
Maintainer: Kwang Woo Ahn <kwooahn at mcw.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: BGSIMD results

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Reference manual: BGSIMD.pdf
Package source: BGSIMD_1.0.tar.gz
Windows binaries: r-devel: BGSIMD_1.0.zip, r-release: BGSIMD_1.0.zip, r-oldrel: BGSIMD_1.0.zip
OS X Mavericks binaries: r-release: BGSIMD_1.0.tgz, r-oldrel: BGSIMD_1.0.tgz

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