Skip to content

qshap

Fast Calculation of Feature Contributions in Boosting Trees

v1.0 · Mar 16, 2026 · GPL (>= 2)

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>.

Downloads

419

Last 30 days

9021st

419

Last 90 days

419

Last year

CRAN Check Status

14 OK
Show all 14 flavors
Flavor Status
r-devel-linux-x86_64-debian-clang OK
r-devel-linux-x86_64-debian-gcc OK
r-devel-linux-x86_64-fedora-clang OK
r-devel-linux-x86_64-fedora-gcc OK
r-devel-macos-arm64 OK
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 OK
r-oldrel-macos-x86_64 OK
r-oldrel-windows-x86_64 OK
r-patched-linux-x86_64 OK
r-release-linux-x86_64 OK
r-release-macos-arm64 OK
r-release-macos-x86_64 OK
r-release-windows-x86_64 OK

Check History

OK 5 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 16, 2026

Dependency Network

Dependencies Reverse dependencies Rcpp xgboost lightgbm viridisLite ggplot2 jsonlite progress qshap

Version History

new 1.0 Mar 16, 2026