New features • Initial CRAN release. • Implements a flexible framework for bioinformatics modeling combining: • Recursive transformer-inspired architectures. • Autoencoder-based feature extraction. • Random Forest and XGBoost classifiers. • Stacked ensemble models. • Provides benchmarking utilities: • ROC and PR curve generation. • Calibration (Brier score, calibration curves). • Threshold optimization for F1 and balanced accuracy. • Cross-validation and sampling utilities (including SMOTE/ROSE support). • Lightweight helper functions for reproducible modeling pipelines.
Documentation • Full function-level documentation with Roxygen2. • Example workflows included in vignettes.