BGSIMD: Block Gibbs Sampler with Incomplete Multinomial Distribution
Version 1.0

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.

Package details

AuthorKwang Woo Ahn <[email protected]>, Kung-Sik Chan <[email protected]>
Date of publication2012-10-29 13:13:36
MaintainerKwang Woo Ahn <[email protected]>
LicenseGPL (>= 2)
Version1.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("BGSIMD")

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BGSIMD documentation built on May 29, 2017, 6:10 p.m.