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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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Package details |
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| Author | Quanli Wang, Hang J. Kim, Jerome P. Reiter, Lawrence H. Cox and Alan F. Karr |
| Maintainer | Hang J. Kim <hangkim0@gmail.com> |
| License | GPL (>= 3) |
| Version | 1.1.6 |
| URL | https://github.com/QuanliWang/EditImputeCont |
| Package repository | View on CRAN |
| Installation |
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