BGSIMD: Block Gibbs Sampler with Incomplete Multinomial Distribution

Share:

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.

Author
Kwang Woo Ahn <kwooahn@mcw.edu>, Kung-Sik Chan <kung-sik-chan@uiowa.edu>
Date of publication
2012-10-29 13:13:36
Maintainer
Kwang Woo Ahn <kwooahn@mcw.edu>
License
GPL (>= 2)
Version
1.0

View on CRAN

Man pages

BGSIMD-package
Efficient Block Gibbs Sampler with Data from an Incomplete...
block.gibbs
Efficient Block Gibbs Sampling with Incomplete Data from a...
part
Partition Sets of Two Sets
partition
The Coarsest Partition of a Finite Sequence of Sets for Which...
rdirichlet
Random Sampling from the Dirichlet Distribution

Files in this package

BGSIMD
BGSIMD/NAMESPACE
BGSIMD/man
BGSIMD/man/rdirichlet.Rd
BGSIMD/man/partition.Rd
BGSIMD/man/part.Rd
BGSIMD/man/block.gibbs.Rd
BGSIMD/man/BGSIMD-package.Rd
BGSIMD/DESCRIPTION
BGSIMD/MD5
BGSIMD/R
BGSIMD/R/partition.R
BGSIMD/R/rdirichlet.R
BGSIMD/R/part.R
BGSIMD/R/block.gibbs.R