Changes in version 1.0.3 (2026-01-19)                  

Bug Fixes

  - Fixed a bug where R² metric was not being correctly maximized in
    SHAPBoostRegressor.

                 Changes in version 1.0.2 (2026-01-13)                  

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.

                 Changes in version 1.0.1 (2025-12-04)                  

Bug Fixes

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

                 Changes in version 1.0.0 (2025-09-29)                  

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