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. Software Kwang Woo Ahn <kwooahn@mcw.edu> Kwang Woo Ahn <kwooahn@mcw.edu>, Kung-Sik Chan <kung-sik-chan@uiowa.edu> GPL (>= 2) 2009-03-04 application/tgz http://CRAN.R-project.org/package=BGSIMD