EditImputeCont: Simultaneous Edit-Imputation for Continuous Microdata

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: 1.0.2
Depends: Rcpp (≥ 0.11.5), methods, editrules, graphics, utils
LinkingTo: Rcpp
Published: 2016-10-31
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)
URL: https://github.com/QuanliWang/EditImputeCont
NeedsCompilation: yes
CRAN checks: EditImputeCont results


Reference manual: EditImputeCont.pdf
Package source: EditImputeCont_1.0.2.tar.gz
Windows binaries: r-devel: EditImputeCont_1.0.2.zip, r-release: EditImputeCont_1.0.2.zip, r-oldrel: EditImputeCont_1.0.2.zip
OS X El Capitan binaries: r-release: EditImputeCont_1.0.2.tgz
OS X Mavericks binaries: r-oldrel: EditImputeCont_1.0.2.tgz
Old sources: EditImputeCont archive


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