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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install.packages("NestedCategBayesImpute")

1.2.1 by Olanrewaju Akande, 2 months ago


Browse source code at https://github.com/cran/NestedCategBayesImpute


Authors: Quanli Wang , Olanrewaju Akande , Jingchen Hu , Jerry Reiter and Andres Barrientos


Documentation:   PDF Manual  


GPL (>= 3) license


Imports stats, coda, dplyr, Rcpp, RcppParallel

Linking to Rcpp, RcppParallel

System requirements: GNU make


See at CRAN