Missing Data Imputation for Continuous and Categorical Data using Nonparametric Bayesian Joint Models

Missing data imputation for continuous and categorical data, using nonparametric Bayesian joint models (specifically the hierarchically coupled mixture model with local dependence described in Murray and Reiter (2015); see 'citation("MixedDataImpute")' or http://arxiv.org/abs/1410.0438). See '?hcmm_impute' for example usage.


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install.packages("MixedDataImpute")

0.1 by Jared S. Murray, 3 years ago


Browse source code at https://github.com/cran/MixedDataImpute


Authors: Jared S. Murray


Documentation:   PDF Manual  


Task views: Missing Data


GPL-3 license


Imports methods

Depends on gdata, Rcpp

Linking to Rcpp, RcppArmadillo, BH


See at CRAN