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 |
| 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 |
| macOS binaries: | r-release: BGSIMD_1.0.tgz, r-oldrel: BGSIMD_1.0.tgz |
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