CRAN

MixedDataImpute 0.1

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

Released Feb 7, 2016 by Jared S. Murray

This package cannot yet be used with Renjin because there was a problem building the package using Renjin's toolchain. View Build Log

Dependencies

RcppArmadillo 0.9.100.5.0 gdata 2.18.0 Rcpp BH 1.66.0-1

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.

Source

R
C
C++

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