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
|rbindimpimp||Combine impimp Objects|
|impimp||Imprecise Imputation for Statistical Matching|
|impestcond||Conditional Imprecise Estimation|
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