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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 |
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| Author | Quanli Wang, Olanrewaju Akande, Jingchen Hu, Jerry Reiter and Andres Barrientos |
| Maintainer | Olanrewaju Akande <akandelanre13@gmail.com> |
| License | GPL (>= 3) |
| Version | 1.2.1 |
| Package repository | View on CRAN |
| Installation |
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