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>.
|Author||Zonglin He [aut], Youyi Fong [cre]|
|Maintainer||Youyi Fong <email@example.com>|
|Package repository||View on CRAN|
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