Binary variables are common in surveys including such as employed vs unemployed, healthy vs unhealthy or poor vs non-poor. The last one is used in the examples of this paper. It is unfortunate that survey data are never complete, that is, missingness occurs, sometimes severely. In those cases missingness may violate estimates due to unit nonresponse. For this purpose, there are also sophisticat...

MOTIVATION Modern data acquisition based on high-throughput technology is often facing the problem of missing data. Algorithms commonly used in the analysis of such large-scale data often depend on a complete set. Missing value imputation offers a solution to this problem. However, the majority of available imputation methods are restricted to one type of variable only: continuous or categorica...