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: 1.1.6
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-devel-UCRT: EditImputeCont_1.1.6.zip, r-release: EditImputeCont_1.1.6.zip, r-oldrel: EditImputeCont_1.1.6.zip
macOS binaries: r-release (arm64): EditImputeCont_1.1.6.tgz, r-release (x86_64): EditImputeCont_1.1.6.tgz, r-oldrel: EditImputeCont_1.1.6.tgz
Old sources: EditImputeCont archive


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