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.
| Version: | 0.1 |
| Depends: | gdata, Rcpp (≥ 0.11), R (≥ 3.1.0) |
| Imports: | methods |
| LinkingTo: | Rcpp, RcppArmadillo, BH |
| Published: | 2016-02-07 |
| Author: | Jared S. Murray |
| Maintainer: | Jared S. Murray <jsmurray at stat.cmu.edu> |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| Citation: | MixedDataImpute citation info |
| In views: | MissingData |
| CRAN checks: | MixedDataImpute results |
| Reference manual: | MixedDataImpute.pdf |
| Package source: | MixedDataImpute_0.1.tar.gz |
| Windows binaries: | r-devel: MixedDataImpute_0.1.zip, r-release: MixedDataImpute_0.1.zip, r-oldrel: MixedDataImpute_0.1.zip |
| OS X binaries: | r-release: MixedDataImpute_0.1.tgz, r-oldrel: MixedDataImpute_0.1.tgz |
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