mdw: Maximum Diversity Weighting

Dimension-reduction methods aim at defining a score that maximizes signal diversity. Two approaches, namely maximum entropy weights and maximum variance weights, are provided.

Version: 2017.8-27
Depends: R (≥ 3.3.0)
Suggests: MASS, RUnit
Published: 2017-08-28
Author: Zonglin He [aut, cre], Youyi Fong [aut]
Maintainer: Zonglin He <nkhezl at gmail.com>
License: GPL-2
NeedsCompilation: no
Materials: ChangeLog
CRAN checks: mdw results

Downloads:

Reference manual: mdw.pdf
Package source: mdw_2017.8-27.tar.gz
Windows binaries: r-devel: mdw_2017.8-27.zip, r-release: mdw_2017.8-27.zip, r-oldrel: mdw_2017.8-27.zip
OS X El Capitan binaries: r-release: mdw_2017.8-27.tgz
OS X Mavericks binaries: r-oldrel: mdw_2017.8-27.tgz

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