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:
ShapDoE_1.0.0.tar.gz
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ShapDoE_1.0.0.tgz(r-4.4-any)ShapDoE_1.0.0.tgz(r-4.3-any)
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ShapDoE.pdf |ShapDoE.html✨
ShapDoE/json (API)
# Install 'ShapDoE' in R: |
install.packages('ShapDoE', repos = c('https://lqyang0714.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 7 months agofrom:c26f946333. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 29 2024 |
R-4.5-win | OK | Oct 29 2024 |
R-4.5-linux | OK | Oct 29 2024 |
R-4.4-win | OK | Oct 29 2024 |
R-4.4-mac | OK | Oct 29 2024 |
R-4.3-win | OK | Oct 29 2024 |
R-4.3-mac | OK | Oct 29 2024 |
Exports:est.shest.shcoaest.shcoa.primeest.shlsest.shsrsest.shstrrsgfpoly.addgfpoly.divgfpoly.multiis.primeonecoaonecoa.primeonelspoly.divstructed.perm
Dependencies:gtools