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}, }