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.

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Description file content

Package
EditImputeCont
Type
Package
Title
Simultaneous Edit-Imputation for Continuous Microdata
Version
1.1.3
Date
2019-05-13
Author
Quanli Wang, Hang J. Kim, Jerome P. Reiter, Lawrence H. Cox and Alan F. Karr
Maintainer
Hang J. Kim
Description
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) . 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.
License
GPL (>= 3)
Depends
Rcpp, methods, editrules, graphics, utils, igraph
LinkingTo
Rcpp
RcppModules
cbei
URL
NeedsCompilation
yes
Repository
CRAN
Packaged
2019-05-13 16:30:09 UTC; kim3h4
Date/Publication
2019-05-13 17:11:04 UTC

install.packages('EditImputeCont')

1.1.3

9 days ago

https://github.com/QuanliWang/EditImputeCont

Hang J. Kim

GPL (>= 3)

Depends on

Rcpp, methods, editrules, graphics, utils, igraph

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