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, ).


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install.packages("impimp")

0.3.1 by Paul Fink, 3 years ago


Browse source code at https://github.com/cran/impimp


Authors: Paul Fink [aut, cre] , Eva Endres [aut] , Melissa Schmoll [ctb]


Documentation:   PDF Manual  


Task views: Missing Data


GPL-2 | GPL-3 license


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See at CRAN