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:
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