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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 |
| Author: | Quanli Wang, Olanrewaju Akande, Jingchen Hu, Jerry Reiter and Andres Barrientos |
| Maintainer: | Olanrewaju Akande <akandelanre13 at gmail.com> |
| 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: NestedCategBayesImpute_1.2.1.zip, r-release: NestedCategBayesImpute_1.2.1.zip, r-oldrel: NestedCategBayesImpute_1.2.1.zip |
| 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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These binaries (installable software) and packages are in development.
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