NestedCategBayesImpute: Modeling and Generating Synthetic Versions of Nested Categorical Data in the Presence of Impossible Combinations

This tool set provides a set of functions to fit the nested Dirichlet process mixture of products of multinomial distributions (NDPMPM) model for nested categorical household data in the presence of impossible combinations. It has direct applications in generating synthetic nested household data.

Version: 1.1.0
Imports: stats, coda, dplyr, Rcpp (≥ 0.12.0)
LinkingTo: Rcpp
Published: 2017-12-01
Author: Quanli Wang, Olanrewaju Akande, Jingchen Hu, Jerry Reiter and Andres Barrientos
Maintainer: Quanli Wang <quanliwang20 at>
License: GPL (≥ 3)
NeedsCompilation: yes
CRAN checks: NestedCategBayesImpute results


Reference manual: NestedCategBayesImpute.pdf
Package source: NestedCategBayesImpute_1.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: NestedCategBayesImpute_1.1.0.tgz
OS X Mavericks binaries: r-oldrel: NestedCategBayesImpute_1.1.0.tgz
Old sources: NestedCategBayesImpute archive


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