r-mdw

Description

Maximum Diversity Weighting.

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>.

Metadata

Version

2024.8-1

License

Unknown

Platforms (75)

Darwin

FreeBSD

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GHCJS

Linux

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NetBSD

none

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aarch64-darwin
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aarch64-linux
aarch64-netbsd
aarch64-none
aarch64_be-none
arm-none
armv5tel-linux
armv6l-linux
armv6l-netbsd
armv6l-none
armv7a-darwin
armv7a-linux
armv7a-netbsd
armv7l-linux
armv7l-netbsd
avr-none
i686-cygwin
i686-darwin
i686-freebsd
i686-genode
i686-linux
i686-netbsd
i686-none
i686-openbsd
i686-windows
javascript-ghcjs
loongarch64-linux
m68k-linux
m68k-netbsd
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microblaze-linux
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microblazeel-linux
microblazeel-none
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mmix-mmixware
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Platforms75 (75)

Platforms (75)