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: | 1.1.0 |
Depends: | Rcpp (≥ 0.11.5), methods, editrules, graphics, utils, igraph |
LinkingTo: | Rcpp |
Published: | 2017-11-19 |
Author: | Quanli Wang, Hang J. Kim, Jerome P. Reiter, Lawrence H. Cox and Alan F. Karr |
Maintainer: | Quanli Wang <quanliwang20 at hotmail.com> |
License: | GPL (≥ 3) |
URL: | https://github.com/QuanliWang/EditImputeCont |
NeedsCompilation: | yes |
CRAN checks: | EditImputeCont results |
Reference manual: | EditImputeCont.pdf |
Package source: | EditImputeCont_1.1.0.tar.gz |
Windows binaries: | r-devel: EditImputeCont_1.1.0.zip, r-release: EditImputeCont_1.1.0.zip, r-oldrel: EditImputeCont_1.1.0.zip |
OS X El Capitan binaries: | r-release: EditImputeCont_1.1.0.tgz |
OS X Mavericks binaries: | r-oldrel: EditImputeCont_1.1.0.tgz |
Old sources: | EditImputeCont archive |
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