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
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
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

install.packages('NestedCategBayesImpute')

1.2.1

4 months ago

Olanrewaju Akande

GPL (>= 3)

Imports

stats, coda, dplyr, Rcpp (>= 0.12.0), RcppParallel

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