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.
|Author||Quanli Wang, Daniel Manrique-Vallier, Jerome P. Reiter and Jingchen Hu|
|Maintainer||Quanli Wang <email@example.com>|
|License||GPL (>= 3)|
|Package repository||View on CRAN|
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