Package: ShapDoE 1.0.0

ShapDoE: Approximation of the Shapley Values Based on Experimental Designs

Estimating the Shapley values using the algorithm in the paper Liuqing Yang, Yongdao Zhou, Haoda Fu, Min-Qian Liu and Wei Zheng (2024) <doi:10.1080/01621459.2023.2257364> "Fast Approximation of the Shapley Values Based on Order-of-Addition Experimental Designs". You provide the data and define the value function, it retures the estimated Shapley values based on sampling methods or experimental designs.

Authors:Liuqing Yang [aut, cre, cph]

ShapDoE_1.0.0.tar.gz
ShapDoE_1.0.0.zip(r-4.7)ShapDoE_1.0.0.zip(r-4.6)ShapDoE_1.0.0.zip(r-4.5)
ShapDoE_1.0.0.tgz(r-4.6-any)ShapDoE_1.0.0.tgz(r-4.5-any)
ShapDoE_1.0.0.tar.gz(r-4.7-any)ShapDoE_1.0.0.tar.gz(r-4.6-any)
ShapDoE_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
ShapDoE/json (API)

# Install 'ShapDoE' in R:
install.packages('ShapDoE', repos = c('https://lqyang0714.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 1 stars 556 downloads 15 exports 1 dependencies

Last updated from:c26f946333. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK96
source / vignettesOK128
linux-release-x86_64OK87
macos-release-arm64OK215
macos-oldrel-arm64OK196
windows-develOK65
windows-releaseOK80
windows-oldrelOK67
wasm-releaseOK86

Exports:est.shest.shcoaest.shcoa.primeest.shlsest.shsrsest.shstrrsgfpoly.addgfpoly.divgfpoly.multiis.primeonecoaonecoa.primeonelspoly.divstructed.perm

Dependencies:gtools