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mdw (version 2024.8-1)

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) .

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Version

Install

install.packages('mdw')

Monthly Downloads

155

Version

2024.8-1

License

GPL-2

Maintainer

Youyi Fong

Last Published

July 31st, 2024

Functions in mdw (2024.8-1)

asym.v.e

Asymptotic variance for maximum entropy weights
asym.v.v

Asymptotic variance for maximum variance weights
var.weight

Maximum variance weights
mdw

mdw Package
pca.weight

Weights based on PCA
tree.weight

Weights based on GSC Tree Method
entropy.weight

Maximum entropy weights
get.bw

Bandwidth Selection