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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.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 form https://CRAN.R-project.org/package=OGI to link to this page.

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.