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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 |
| Reference manual: | impimp.pdf |
| Package source: | impimp_0.3.1.tar.gz |
| Windows binaries: | r-devel: impimp_0.3.1.zip, r-release: impimp_0.3.1.zip, r-oldrel: impimp_0.3.1.zip |
| macOS binaries: | r-release (arm64): impimp_0.3.1.tgz, r-oldrel (arm64): impimp_0.3.1.tgz, r-release (x86_64): impimp_0.3.1.tgz, r-oldrel (x86_64): impimp_0.3.1.tgz |
| Old sources: | impimp archive |
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