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MixedDataImpute: 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.
Getting started
Browse package contents
Package details |
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| Author | Jared S. Murray |
| Maintainer | Jared S. Murray <jsmurray@stat.cmu.edu> |
| License | GPL-3 |
| Version | 0.1 |
| Package repository | View on CRAN |
| Installation |
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