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These routines create multiple imputations of missing at random categorical data, with or without structural zeros. Imputations are based on Dirichlet process mixtures of multinomial distributions, which is a non-parametric Bayesian modeling approach that allows for flexible joint modeling.
Package details |
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Author | Quanli Wang, Daniel Manrique-Vallier, Jerome P. Reiter and Jingchen Hu |
Maintainer | Quanli Wang <quanli@stat.duke.edu> |
License | GPL (>= 3) |
Version | 0.6 |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
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