BGSIMD-package {BGSIMD} | R Documentation |
Implement an efficient block Gibbs sampler for Bayesian analysis 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.
Package: | BGSIMD |
Type: | Package |
Version: | 1.0 |
Date: | 2009-02-06 |
License: | GPL (>= 2) |
LazyLoad: | yes |
Kwang Woo Ahn <kwooahn@mcw.edu> and Kung-Sik Chan <kung-sik-chan@uiowa.edu>
Ahn, K. W. and Chan, K. S. (2007) Efficient Markov chain Monte Carlo with incomplete multinomial data, Technical report 382, The University of Iowa