impimp v0.3.1

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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>).

Functions in impimp

Name Description
checkImprecision Imprecise Imputation
generateTupelData Tuple representation
rbindimpimp Combine impimp Objects
impimp_event Imprecise Events
impimp Imprecise Imputation for Statistical Matching
impestcond Conditional Imprecise Estimation
impest Imprecise Estimation
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Details

Type Package
Date 2019-02-03
License GPL-2 | GPL-3
LazyData TRUE
Encoding UTF-8
RoxygenNote 6.1.1
NeedsCompilation no
Packaged 2019-02-03 18:23:13 UTC; paulus
Repository CRAN
Date/Publication 2019-02-03 18:43:16 UTC
imports stats
Contributors Eva Endres, Melissa Schmoll

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