EditImputeCont (1.1.6)

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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.

Maintainer: Hang J. Kim
Author(s): Quanli Wang, Hang J. Kim, Jerome P. Reiter, Lawrence H. Cox and Alan F. Karr

License: GPL (>= 3)

Uses: editrules, igraph, Rcpp

Released 3 months ago.

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