Package: mdw
Title: Maximum Diversity Weighting
Version: 2024.8-1
Authors@R: c(person("Zonglin", "He", email = "nkhezl@gmail.com", role = c("aut")), person("Youyi", "Fong", email = "youyifong@gmail.com", role = c("cre")))
Description: 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>.
Depends: R (>= 3.5.0)
Suggests: R.rsp, RUnit, Rmosek, mvtnorm, gtools
Imports: kyotil, MASS, Matrix
License: GPL-2
Encoding: UTF-8
VignetteBuilder: R.rsp
NeedsCompilation: no
Packaged: 2024-07-31 22:41:45 UTC; Youyi
Author: Zonglin He [aut],
  Youyi Fong [cre]
Maintainer: Youyi Fong <youyifong@gmail.com>
Repository: CRAN
Date/Publication: 2024-07-31 23:00:02 UTC
Built: R 4.3.3; ; 2025-01-24 09:35:32 UTC; unix
