Package shapley updated to version 0.7.0 with previous version 0.6.0 dated 2026-02-13

Wed, 04 Mar 2026 01:02:00 CDT

Title: Weighted Mean SHAP and CI for Robust Feature Assessment in ML Grid
Description: This R package introduces Weighted Mean SHapley Additive exPlanations (WMSHAP), an innovative method for calculating SHAP values for a grid of fine-tuned base-learner machine learning models as well as stacked ensembles, a method not previously available due to the common reliance on single best-performing models. By integrating the weighted mean SHAP values from individual base-learners comprising the ensemble or individual base-learners in a tuning grid search, the package weights SHAP contributions according to each model's performance, assessed by multiple either R squared (for both regression and classification models). alternatively, this software also offers weighting SHAP values based on the area under the precision-recall curve (AUCPR), the area under the curve (AUC), and F2 measures for binary classifiers. It further extends this framework to implement weighted confidence intervals for weighted mean SHAP values, offering a more comprehensive and robust feature importance eval [...truncated...]
Author: E. F. Haghish [aut, cre, cph]
Maintainer: E. F. Haghish <haghish@hotmail.com>

Diff between shapley versions 0.6.0 dated 2026-02-13 and 0.7.0 dated 2026-03-04

 DESCRIPTION              |    6 +++---
 MD5                      |   12 ++++++------
 R/shapley.domain.R       |    6 +++---
 R/shapley.domain.test.R  |    2 +-
 R/shapley.feature.test.R |    2 +-
 R/shapley.row.plot.R     |   30 ++++++++++++++++++++++++++++--
 man/shapley.row.plot.Rd  |   15 ++++++++++++++-
 7 files changed, 56 insertions(+), 17 deletions(-)

More information about shapley at CRAN