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
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

Downloads:

Reference manual: OGI.pdf
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
OS X El Capitan binaries: r-release: OGI_1.0.0.tgz
OS X Mavericks binaries: r-oldrel: not available

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