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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>].

Version: 0.1.0
Published: 2024-07-21
DOI: 10.32614/CRAN.package.mimdo
Author: Geovert John Labita [aut, cre]
Maintainer: Geovert John Labita <geovertjohn.labita at ustp.edu.ph>
License: GPL-3
NeedsCompilation: no
CRAN checks: mimdo results

Documentation:

Reference manual: mimdo.pdf

Downloads:

Package source: mimdo_0.1.0.tar.gz
Windows binaries: r-devel: mimdo_0.1.0.zip, r-release: mimdo_0.1.0.zip, r-oldrel: mimdo_0.1.0.zip
macOS binaries: r-release (arm64): mimdo_0.1.0.tgz, r-oldrel (arm64): mimdo_0.1.0.tgz, r-release (x86_64): mimdo_0.1.0.tgz, r-oldrel (x86_64): mimdo_0.1.0.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.