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>).
|Author||Paul Fink [aut, cre], Eva Endres [aut], Melissa Schmoll [ctb]|
|Maintainer||Paul Fink <email@example.com>|
|License||GPL-2 | GPL-3|
|Package repository||View on CRAN|
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