Package: NestedCategBayesImpute
Type: Package
Title: Modeling, Imputing and Generating Synthetic Versions of Nested
        Categorical Data in the Presence of Impossible Combinations
Version: 1.2.1
Date: 2019-02-07
Author: Quanli Wang, Olanrewaju Akande, Jingchen Hu, Jerry Reiter and Andres Barrientos
Maintainer: Olanrewaju Akande <akandelanre13@gmail.com>
Description: 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.
License: GPL (>= 3)
LazyData: TRUE
Imports: stats, coda, dplyr, Rcpp (>= 0.12.0), RcppParallel
LinkingTo: Rcpp, RcppParallel
SystemRequirements: GNU make
NeedsCompilation: yes
Packaged: 2019-02-07 18:13:45 UTC; klbh847
Repository: CRAN
Date/Publication: 2019-02-07 21:43:40 UTC
Built: R 4.1.0; x86_64-apple-darwin17.0; 2021-05-27 13:11:22 UTC; unix
Archs: NestedCategBayesImpute.so.dSYM
