impimp: Imprecise Imputation for Statistical Matching
Imputing blockwise missing data by imprecise imputation,
featuring a domain-based, variable-wise, and case-wise strategy.
Furthermore, the estimation of lower and upper bounds for
unconditional and conditional probabilities based on the obtained
imprecise data is implemented.
Additionally, two utility functions are supplied: one to check
whether variables in a data set contain set-valued observations;
and another to merge two already imprecisely imputed data.
The method is described in a technical report by Endres, Fink and
Augustin (2018, <doi:10.5282/ubm/epub.42423>).
| Version: |
0.3.1 |
| Imports: |
stats |
| Published: |
2019-02-03 |
| Author: |
Paul Fink [aut, cre],
Eva Endres [aut],
Melissa Schmoll [ctb] |
| Maintainer: |
Paul Fink <paul.fink at stat.uni-muenchen.de> |
| License: |
GPL-2 | GPL-3 |
| NeedsCompilation: |
no |
| Materials: |
NEWS |
| In views: |
MissingData |
| CRAN checks: |
impimp results |
Documentation:
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