An integrated editing and imputation method for continuous microdata under linear constraints is implemented. It relies on a Bayesian nonparametric hierarchical modeling approach in which the joint distribution of the data is estimated by a flexible joint probability model. The generated edit-imputed data are guaranteed to satisfy all imposed edit rules, whose types include ratio edits, balance edits and range restrictions.
| Version: | 1.0.1 |
| Depends: | Rcpp (≥ 0.11.5), methods, editrules, graphics, utils |
| LinkingTo: | Rcpp |
| Published: | 2016-02-19 |
| Author: | Quanli Wang, Hang J. Kim, Jerome P. Reiter, Lawrence H. Cox and Alan F. Karr |
| Maintainer: | Quanli Wang <quanli at stat.duke.edu> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | yes |
| CRAN checks: | EditImputeCont results |
| Reference manual: | EditImputeCont.pdf |
| Package source: | EditImputeCont_1.0.1.tar.gz |
| Windows binaries: | r-devel: EditImputeCont_1.0.1.zip, r-release: EditImputeCont_1.0.1.zip, r-oldrel: EditImputeCont_1.0.1.zip |
| OS X Mavericks binaries: | r-release: EditImputeCont_1.0.1.tgz, r-oldrel: EditImputeCont_1.0.1.tgz |
| Old sources: | EditImputeCont archive |
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