An integrated editing and imputation method for continuous microdata under linear constraints is implemented. It relies on a Bayesian nonparametric hierarchical modeling approach as described in Kim et al. (2015) <doi:10.1080/01621459.2015.1040881>. In this approach, 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: | 1.1.6 |
| Depends: | Rcpp, methods, editrules, graphics, utils, igraph |
| LinkingTo: | Rcpp |
| Published: | 2020-03-03 |
| Author: | Quanli Wang, Hang J. Kim, Jerome P. Reiter, Lawrence H. Cox and Alan F. Karr |
| Maintainer: | Hang J. Kim <hangkim0 at gmail.com> |
| License: | GPL (≥ 3) |
| URL: | https://github.com/QuanliWang/EditImputeCont |
| NeedsCompilation: | yes |
| In views: | MissingData |
| CRAN checks: | EditImputeCont results |
| Reference manual: | EditImputeCont.pdf |
| Package source: | EditImputeCont_1.1.6.tar.gz |
| Windows binaries: | r-devel: EditImputeCont_1.1.6.zip, r-release: EditImputeCont_1.1.6.zip, r-oldrel: EditImputeCont_1.1.6.zip |
| macOS binaries: | r-release: EditImputeCont_1.1.6.tgz, r-oldrel: EditImputeCont_1.1.6.tgz |
| Old sources: | EditImputeCont archive |
Please use the canonical form https://CRAN.R-project.org/package=EditImputeCont to link to this page.