Changes in version 6.0.2 - Improved regression distributed variable importance for multiple test samples. - Fixed small issues in model validation, prediction, and variance-related code paths. Changes in version 6.0.1 - Added survival forests with logrank, sup-logrank, and Cox-gradient splitting. - Added survival linear-combination splitting, observation weights, and survival confidence bands. Changes in version 6.0.0 - Rewrote the modeling backend in C++ with Rcpp/RcppArmadillo. - Added deterministic parallel forests with reproducible random seeds across core counts. Changes in version 5.8.0 - Added var.prob for weighted variable sampling across model types. - Added regression variable-importance variance estimation. Changes in version 5.7.0 - Added classification forest support with classification-specific linear-combination splitting. - Added classification probability prediction and related categorical predictor handling. Changes in version 4.2.5 - Added regression linear-combination splitting and reinforcement learning splitting modes. Changes in version 4.1.3 - Improved reproducibility, model support, and speed. Changes in version 4.0.0 - Migrated the package to Rcpp and RcppArmadillo. Changes in version 3.2.3 (2021-09-04) - Fixed header compatibility issues. Changes in version 3.2.2 (2018-08-20) - Updated classification variable-weight handling. Changes in version 3.2.1 (2017-11-19) - Fixed Solaris compilation issues. Changes in version 3.2.0 (2017-11-17) - Fixed omp.h compilation issues. Changes in version 3.1.1 - Fixed a survival split crash. Changes in version 3.1.0 (2017-04-09) - Initial release of the RLT modeling interface.