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What is Imputation Techniques in R about?

This document summarizes the R package VIM, which provides tools for exploring missing data, imputing missing values using various methods, and verifying imputations. The package handles mixed data types and large datasets. It includes hot-deck imputation, k-nearest neighbor imputation, regression imputation, and an iterative robust EM-based method for single or multiple imputation. Visualization methods help explore missing data patterns and assess imputation quality. A graphical user interface enables use

Author

asfar as-salafiy

Language

EN