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.

Getting started

Package details

AuthorQuanli Wang, Olanrewaju Akande, Jingchen Hu, Jerry Reiter and Andres Barrientos
MaintainerOlanrewaju Akande <[email protected]>
LicenseGPL (>= 3)
Version1.2.1
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("NestedCategBayesImpute")

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NestedCategBayesImpute documentation built on May 2, 2019, 3:26 p.m.