NestedCategBayesImpute: Modeling, Imputing 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 imputing missing values for and generating synthetic versions of nested household data.

Version: 1.2.1
Imports: stats, coda, dplyr, Rcpp (≥ 0.12.0), RcppParallel
LinkingTo: Rcpp, RcppParallel
Published: 2019-02-07
DOI: 10.32614/CRAN.package.NestedCategBayesImpute
Author: Quanli Wang, Olanrewaju Akande, Jingchen Hu, Jerry Reiter and Andres Barrientos
Maintainer: Olanrewaju Akande <akandelanre13 at>
License: GPL (≥ 3)
NeedsCompilation: yes
SystemRequirements: GNU make
CRAN checks: NestedCategBayesImpute results


Reference manual: NestedCategBayesImpute.pdf


Package source: NestedCategBayesImpute_1.2.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): NestedCategBayesImpute_1.2.1.tgz, r-oldrel (arm64): NestedCategBayesImpute_1.2.1.tgz, r-release (x86_64): NestedCategBayesImpute_1.2.1.tgz, r-oldrel (x86_64): NestedCategBayesImpute_1.2.1.tgz
Old sources: NestedCategBayesImpute archive


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