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Dimension-reduction methods aim at defining a score that maximizes signal diversity. Three approaches, tree weight, maximum entropy weights, and maximum variance weights are provided. These methods are described in He and Fong (2019) <DOI:10.1002/sim.8212>.
Package details |
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Author | Zonglin He [aut], Youyi Fong [cre] |
Maintainer | Youyi Fong <youyifong@gmail.com> |
License | GPL-2 |
Version | 2024.8-1 |
Package repository | View on CRAN |
Installation |
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