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.