BGSIMD-package

BGSIMD


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

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.

BGSIMD-package: Efficient Block Gibbs Sampler with Data from an Incomplete Multinomial Distribution

Description

Arguments

Details

References