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 <youyifong at gmail.com> License: GPL-2 NeedsCompilation: no Materials: ChangeLog CRAN checks: mdw results Documentation: Reference manual: mdw.pdf Vignettes: Tutorials for the R package mdw (source)Please use the canonical form https://CRAN.R-project.org/package=mdw to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4