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NestedCategBayesImpute  

Modeling, Imputing and Generating Synthetic Versions of Nested Categorical Data in the Presence of Impossible Combinations
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Download and install NestedCategBayesImpute package within the R console
Install from CRAN:
install.packages("NestedCategBayesImpute")

Install from Github:
library("remotes")
install_github("cran/NestedCategBayesImpute")

Install by package version:
library("remotes")
install_version("NestedCategBayesImpute", "1.2.1")



Attach the package and use:
library("NestedCategBayesImpute")
Maintained by
Olanrewaju Akande
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-11-17
Latest Update: 2019-02-07
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.
How to cite:
Olanrewaju Akande (2016). NestedCategBayesImpute: Modeling, Imputing and Generating Synthetic Versions of Nested Categorical Data in the Presence of Impossible Combinations. R package version 1.2.1, https://cran.r-project.org/web/packages/NestedCategBayesImpute. Accessed 21 Nov. 2024.
Previous versions and publish date:
1.0.0 (2016-11-17 08:27), 1.1.0 (2017-12-01 13:10)
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