EditImputeCont: Simultaneous Edit-Imputation for Continuous Microdata
Version 1.0.2

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.

Package details

AuthorQuanli Wang, Hang J. Kim, Jerome P. Reiter, Lawrence H. Cox and Alan F. Karr
Date of publication2016-10-31 07:57:01
MaintainerQuanli Wang <[email protected]>
LicenseGPL (>= 3)
URL https://github.com/QuanliWang/EditImputeCont
Package repositoryView on CRAN
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EditImputeCont documentation built on May 30, 2017, 3:23 a.m.