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.


Reference manual

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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