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
Repository: https://youyifong.r-universe.dev
Date/Publication: 2025-07-27 18:28:32 UTC
RemoteUrl: https://github.com/youyifong/mdw
RemoteRef: HEAD
RemoteSha: a0cd0683c53bb22afedc3232fa3a58139186e436
Packaged: 2026-06-10 08:28:34 UTC; root
Author: Zonglin He [aut],
  Youyi Fong [cre]
Maintainer: Youyi Fong <youyifong@gmail.com>