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) . 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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install.packages("EditImputeCont")

1.1.1 by Hang J. Kim, 16 days ago


https://github.com/QuanliWang/EditImputeCont


Browse source code at https://github.com/cran/EditImputeCont


Authors: Quanli Wang , Hang J. Kim , Jerome P. Reiter , Lawrence H. Cox and Alan F. Karr


Documentation:   PDF Manual  


GPL (>= 3) license


Depends on Rcpp, methods, editrules, graphics, utils, igraph

Linking to Rcpp


See at CRAN