To cite the ensembleML package in publications, use: The underlying algorithms should also be cited: Islam S (2026). _ensembleML: Unified Interface for Ensemble Machine Learning Methods_. R package version 0.2.0, . A BibTeX entry for LaTeX users is @Manual{, title = {{ensembleML}: Unified Interface for Ensemble Machine Learning Methods}, author = {Sadikul Islam}, year = {2026}, note = {R package version 0.2.0}, url = {https://cran.r-project.org/package=ensembleML}, } Breiman L (2001). “Random Forests.” _Machine Learning_, *45*(1), 5-32. doi:10.1023/A:1010933404324 . A BibTeX entry for LaTeX users is @Article{, title = {Random Forests}, author = {Leo Breiman}, journal = {Machine Learning}, year = {2001}, volume = {45}, number = {1}, pages = {5--32}, doi = {10.1023/A:1010933404324}, } Chen T, Guestrin C (2016). “XGBoost: A Scalable Tree Boosting System.” In _Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining_, 785-794. doi:10.1145/2939672.2939785 . A BibTeX entry for LaTeX users is @InProceedings{, title = {{XGBoost}: A Scalable Tree Boosting System}, author = {Tianqi Chen and Carlos Guestrin}, booktitle = {Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining}, year = {2016}, pages = {785--794}, publisher = {ACM}, doi = {10.1145/2939672.2939785}, } Freund Y, Schapire R (1997). “A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting.” _Journal of Computer and System Sciences_, *55*(1), 119-139. doi:10.1006/jcss.1997.1504 . A BibTeX entry for LaTeX users is @Article{, title = {A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting}, author = {Yoav Freund and Robert E. Schapire}, journal = {Journal of Computer and System Sciences}, year = {1997}, volume = {55}, number = {1}, pages = {119--139}, doi = {10.1006/jcss.1997.1504}, } Breiman L (1996). “Bagging Predictors.” _Machine Learning_, *24*(2), 123-140. doi:10.1007/BF00058655 . A BibTeX entry for LaTeX users is @Article{, title = {Bagging Predictors}, author = {Leo Breiman}, journal = {Machine Learning}, year = {1996}, volume = {24}, number = {2}, pages = {123--140}, doi = {10.1007/BF00058655}, }