CRAN
NPBayesImpute 0.6
Non-Parametric Bayesian Multiple Imputation for Categorical Data
Released Feb 9, 2016 by Quanli Wang
This package cannot yet be used with Renjin because there was a problem building the package using Renjin's toolchain. View Build Log
Dependencies
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.