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.html , 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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