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.

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Package details

AuthorQuanli Wang, Olanrewaju Akande, Jingchen Hu, Jerry Reiter and Andres Barrientos
MaintainerOlanrewaju Akande <>
LicenseGPL (>= 3)
Package repositoryView on CRAN
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NestedCategBayesImpute documentation built on May 2, 2019, 3:26 p.m.