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OGI: Objective General Index

Consider a data matrix of n individuals with p variates. The objective general index (OGI) is a general index that combines the p variates into a univariate index in order to rank the n individuals. The OGI is always positively correlated with each of the variates. More details can be found in Sei (2016) <doi:10.1016/j.jmva.2016.02.005>.

Version:1.0.0
Imports:lpSolve (≥ 5.6.13), stats (≥ 3.3.3), graphics (≥ 3.3.3), methods (≥ 3.3.3)
Suggests:ade4 (≥ 1.7.8),bnlearn (≥ 4.2),testthat (≥ 1.0.2)
Published:2017-12-20
DOI:10.32614/CRAN.package.OGI
Author:Tomonari Sei [aut], Masaki Hamada [cre]
Maintainer:Masaki Hamada <masaki_hamada at mist.i.u-tokyo.ac.jp>
License:GPL-3
NeedsCompilation:no
CRAN checks:OGI results

Documentation:

Reference manual:OGI.html ,OGI.pdf

Downloads:

Package source: OGI_1.0.0.tar.gz
Windows binaries: r-devel:OGI_1.0.0.zip, r-release:OGI_1.0.0.zip, r-oldrel:OGI_1.0.0.zip
macOS binaries: r-release (arm64):OGI_1.0.0.tgz, r-oldrel (arm64):OGI_1.0.0.tgz, r-release (x86_64):OGI_1.0.0.tgz, r-oldrel (x86_64):OGI_1.0.0.tgz

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=OGIto link to this page.


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