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: |
2009-03-04 |
| Author: |
Kwang Woo Ahn, Kung-Sik Chan |
| Maintainer: |
Kwang Woo Ahn <kwooahn at mcw.edu> |
| License: |
GPL (≥ 2) |
| CRAN checks: |
BGSIMD results |
Downloads: