SHAPBoost 1.0.0
New Features
- Initial release of SHAPBoost package
- Implementation of SHAPBoost algorithm for feature selection using
SHAP values
- Support for regression analysis with
SHAPBoostRegressor
class
- Support for survival analysis with
SHAPBoostSurvival
class
- Integration with XGBoost for gradient boosting
- Support for Cox proportional hazards models in survival
analysis
- Cross-validation based feature selection
- Collinearity detection and handling
- Configurable metrics (MAE, MSE, R², C-index)
Dependencies
- Depends on R >= 3.5.0
- Imports: xgboost, SHAPforxgboost, methods, caret, Matrix
Documentation
- Complete documentation for all exported functions and classes
- Examples for both regression and survival analysis use cases