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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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.