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qshap
View on CRAN: Click
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Download and install qshap package within the R console
Install from CRAN:
install.packages("qshap")
Install from Github:
library("remotes")
install_github("cran/qshap") Install by package version:
library("remotes")
install_version("qshap", "2.0.0") Attach the package and use:
library("qshap")
Maintained by
Zhongli Jiang
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
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First Published: 2026-03-16
Latest Update: 2026-03-16
Description:
Computes feature-specific R-squared (R2) contributions for boosting tree models using a Shapley-value-based decomposition of the total R-squared in polynomial time. Supports models fitted with 'XGBoost' and 'LightGBM', and provides efficient parallel implementations suitable for large-scale problems. Multiple visualization tools are included for interpreting and communicating feature contributions. The methodology is described in Jiang, Zhang, and Zhang (2025) <doi:10.48550/arXiv.2407.03515>.
How to cite:
Zhongli Jiang (2026). qshap: Fast Calculation of Feature Contributions in Boosting Trees. R package version 2.0.0, https://cran.r-project.org/web/packages/qshap. Accessed 03 Oct. 2026.
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