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mimdo: Multivariate Imputation by Mahalanobis Distance Optimization
Imputes missing values of an incomplete data matrix by minimizing the Mahalanobis distance of each sample from the overall mean [Labita, GJ.D. and Tubo, B.F. (2024) <doi:10.24412/1932-2321-2024-278-115-123>].
Getting started
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Package details |
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| Author | Geovert John Labita [aut, cre] |
| Maintainer | Geovert John Labita <geovertjohn.labita@ustp.edu.ph> |
| License | GPL-3 |
| Version | 0.1.0 |
| Package repository | View on CRAN |
| Installation |
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