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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 |
| 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 |
| 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 |
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