mdw: Maximum Diversity Weighting (original) (raw)
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>.
| Version: | 2024.8-1 |
|---|---|
| Depends: | R (≥ 3.5.0) |
| Imports: | kyotil, MASS, Matrix |
| Suggests: | R.rsp, RUnit, Rmosek, mvtnorm, gtools |
| Published: | 2024-07-31 |
| DOI: | 10.32614/CRAN.package.mdw |
| Author: | Zonglin He [aut], Youyi Fong [cre] |
| Maintainer: | Youyi Fong |
| License: | GPL-2 |
| NeedsCompilation: | no |
| Materials: | |
| CRAN checks: | mdw results |
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