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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 editimputed data are guaranteed to satisfy all imposed edit rules, whose types include ratio edits, balance edits and range restrictions.
Package details 


Author  Quanli Wang, Hang J. Kim, Jerome P. Reiter, Lawrence H. Cox and Alan F. Karr 
Maintainer  Quanli Wang <[email protected]> 
License  GPL (>= 3) 
Version  1.1.0 
URL  https://github.com/QuanliWang/EditImputeCont 
Package repository  View on CRAN 
Installation 
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