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, https://cran.r-project.org/package=ensembleML.

Breiman L (2001). “Random Forests.” Machine Learning, 45(1), 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.

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.

Breiman L (1996). “Bagging Predictors.” Machine Learning, 24(2), 123–140. doi:10.1007/BF00058655.

Corresponding BibTeX entries:

  @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},
  }

  @Article{,
    title = {Random Forests},
    author = {Leo Breiman},
    journal = {Machine Learning},
    year = {2001},
    volume = {45},
    number = {1},
    pages = {5--32},
    doi = {10.1023/A:1010933404324},
  }

  @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},
  }

  @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},
  }

  @Article{,
    title = {Bagging Predictors},
    author = {Leo Breiman},
    journal = {Machine Learning},
    year = {1996},
    volume = {24},
    number = {2},
    pages = {123--140},
    doi = {10.1007/BF00058655},
  }