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').


Reference manual

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1.0 by Alessandro Barbiero, 7 years ago

Browse source code at

Authors: Nadia Solaro , Alessandro Barbiero , Giancarlo Manzi , Pier Alda Ferrari

Documentation:   PDF Manual  

Task views: Missing Data

GPL-3 license

Depends on mvtnorm, sn

See at CRAN