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