SHAPBoost 1.0.2

New Features

• Added fixed_variables parameter to SHAPBoostRegressor and SHAPBoostSurvival to allow users to specify variables that should always be included in the selected feature set.

SHAPBoost 1.0.1

Bug Fixes

• Fixed a bug that caused unsupported types in xgboost for SHAPBoostRegressor
• Updated compatibility with latest xgboost versions

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