Changes in version 0.4.0 (2026-04-24) - Cleanup in #52 (https://github.com/ModelOriented/treeshap/pull/52). Thanks @kapsner - Fixed xgboost api and add depends R>=4.1.0 as in #51 (https://github.com/ModelOriented/treeshap/pull/51). Thanks @kapsner - Fix ranger.unify for probability forests as in #43 (https://github.com/ModelOriented/treeshap/pull/43). Thanks @ck37 - Added support for GPBoost as in #41 (https://github.com/ModelOriented/treeshap/pull/41). Thanks @fabsig Changes in version 0.3.1 (2024-01-22) - Fixed code examples in lightgbm.unify. Changes in version 0.3.0 (2023-10-24) - Fixed ranger_surv.unify operation for predictions in form of survival and cumulative hazard functions. - Added model_unified_multioutput and treeshap_multioutput classes for multi-output models and their explanations. - Improved documentation of ranger_surv.unify. Changes in version 0.2.5 (2023-10-01) - Removed catboost.unify function (as the catboost package is not on CRAN); it is available on a separate branch - Fixed randomForest.unify for classifiers (#12, #23) - Implemented consolidated (generic) unify function (#18) - An error is thrown when the data passed to the unify or treeshap functions contain variables that are not used by the model (#14) - Added implementation for random survival forests created using ranger (#22, #26) - Fixed GitHub Actions, check and test issues (#25, #29) - Fixed issues with documentation and examples - Changed use of bitwise '|' to logical '||' with boolean operands in C++ files Changes in version 0.1.1 - Fixed plot_contribution when max_vars is larger than the number of variables (#16) Changes in version 0.1.0 - Rebuilded treeshap function so it now stores observations and whole dataset - Rebuilded all unifiers so they require passing data. Changes in version 0.0.1 - Made package pass all checks - Fixed infinite recursion issue in ranger (see commit) - If there is no missing value in the model, unifiers return NA for Missing column (see commit) Changes in version 0.0.0.9000 - treeshap is now public - Implemented fast computations of tree ensemble shap values in C++ - Implemented unifiers for catboost, lightgbm, xgboost, gbm, ranger and randomForest