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If you use this package in your research or work, please cite it as follows:And the associated paper:

Saraceno G, Markatou M, Mukhopadhyay R, Golzy M (2024).QuadratiK: Collection of Methods Constructed using Kernel-Based Quadratic Distances.Version 1.1.2,https://github.com/ropensci/QuadratiK.

Markatou M, Saraceno G (2024).“A Unified Framework for Multivariate Two- and k-Sample Kernel-based Quadratic Distance Goodness-of-Fit Tests.”arXiv preprint.https://doi.org/10.48550/arXiv.2407.16374.

See the QuadratiK GitHub repository for further information.

Corresponding BibTeX entries:

  @Manual{,    title = {QuadratiK: Collection of Methods Constructed using      Kernel-Based Quadratic Distances},    author = {Giovanni Saraceno and Marianthi Markatou and Raktim      Mukhopadhyay and Mojgan Golzy},    year = {2024},    note = {Version 1.1.2},    url = {https://github.com/ropensci/QuadratiK},  }
  @Article{,    title = {A Unified Framework for Multivariate Two- and k-Sample      Kernel-based Quadratic Distance Goodness-of-Fit Tests},    author = {Marianthi Markatou and Giovanni Saraceno},    journal = {arXiv preprint},    year = {2024},    note = {https://doi.org/10.48550/arXiv.2407.16374},  }

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