Dimension-reduction methods aim at defining a score that maximizes signal diversity. Two approaches, namely maximum entropy weights and maximum variance weights, are provided.
|Author||Zonglin He [aut, cre], Youyi Fong [aut]|
|Date of publication||2017-12-04 10:27:06 UTC|
|Maintainer||Zonglin He <[email protected]>|
|Package repository||View on CRAN|
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