impimp 0.3.1

Imprecise Imputation for Statistical Matching

Released Feb 3, 2019 by Paul Fink

This package can be loaded by Renjin but 2 out 7 tests failed.

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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    <name>bedatadriven public repo</name>

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This package was last tested against Renjin 0.9.2719 on Feb 5, 2019.



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