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 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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