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:

Reference manual: impimp.pdf

Downloads:

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
Old sources: impimp archive

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