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GenForImp: The Forward Imputation: A Sequential Distance-Based Approach for Imputing Missing Data
Two methods based on the Forward Imputation approach are implemented for the imputation of quantitative missing data. One method alternates Nearest Neighbour Imputation and Principal Component Analysis (function 'ForImp.PCA'), the other uses Nearest Neighbour Imputation with the Mahalanobis distance (function 'ForImp.Mahala').
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Package details |
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| Author | Nadia Solaro, Alessandro Barbiero, Giancarlo Manzi, Pier Alda Ferrari |
| Maintainer | Alessandro Barbiero <alessandro.barbiero@unimi.it> |
| License | GPL-3 |
| Version | 1.0 |
| Package repository | View on CRAN |
| Installation |
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