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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>].

Versions across snapshots

VersionRepositoryFileSize
0.1.0 rolling linux/jammy R-4.5 mimdo_0.1.0.tar.gz 15.2 KiB
0.1.0 rolling linux/noble R-4.5 mimdo_0.1.0.tar.gz 15.2 KiB
0.1.0 rolling source/ R- mimdo_0.1.0.tar.gz 2.6 KiB
0.1.0 latest linux/jammy R-4.5 mimdo_0.1.0.tar.gz 15.2 KiB
0.1.0 latest linux/noble R-4.5 mimdo_0.1.0.tar.gz 15.2 KiB
0.1.0 latest source/ R- mimdo_0.1.0.tar.gz 2.6 KiB
0.1.0 2026-04-26 source/ R- mimdo_0.1.0.tar.gz 2.6 KiB
0.1.0 2026-04-23 source/ R- mimdo_0.1.0.tar.gz 2.6 KiB
0.1.0 2026-04-09 windows/windows R-4.5 mimdo_0.1.0.zip 17.8 KiB
0.1.0 2025-04-20 source/ R- mimdo_0.1.0.tar.gz 2.6 KiB