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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.
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Package details |
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| Author | Kwang Woo Ahn <kwooahn@mcw.edu>, Kung-Sik Chan <kung-sik-chan@uiowa.edu> |
| Maintainer | Kwang Woo Ahn <kwooahn@mcw.edu> |
| License | GPL (>= 2) |
| Version | 1.0 |
| Package repository | View on CRAN |
| Installation |
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