Meys J, Stock M (2020). _xnet: Two-Step Kernel Ridge Regression for
Network Predictions_. R package version 0.1.11,
<https://github.com/CenterForStatistics-UGent/xnet>.

A BibTeX entry for LaTeX users is

  @Manual{,
    title = {xnet: Two-Step Kernel Ridge Regression for Network Predictions},
    author = {Joris Meys and Michiel Stock},
    year = {2020},
    note = {R package version 0.1.11},
    url = {https://github.com/CenterForStatistics-UGent/xnet},
  }

For reference to the methods from this package, use:

  Stock M, Pahikkala T, Airola A, Waegeman W, de Baets B (2018).
  “Algebraic shortcuts for leave-one-out crossvalidation in supervised
  network inference.” _Briefings in Bioinformatic_, bby095.
  doi:10.1093/bib/bby095 <https://doi.org/10.1093/bib/bby095>.

A BibTeX entry for LaTeX users is

  @Article{,
    title = {Algebraic shortcuts for leave-one-out crossvalidation
         in supervised network inference.},
    author = {Michiel Stock and Tapio Pahikkala and Antti Airola and Willem Waegeman and Bernard {de Baets}},
    journal = {Briefings in Bioinformatic},
    year = {2018},
    pages = {bby095},
    doi = {10.1093/bib/bby095},
  }

Stock M, Pahikkala T, Airola A, de Baets B, Waegeman W (2018). “A
comparative study of pairwise learning methods based on Kernel Ridge
Regression.” _Neural Computation_, *30*(8), 2245-2283.
doi:10.1162/neco_a_01096 <https://doi.org/10.1162/neco_a_01096>.

A BibTeX entry for LaTeX users is

  @Article{,
    title = {A comparative study of pairwise learning methods based on Kernel Ridge Regression},
    author = {Michiel Stock and Tapio Pahikkala and Antti Airola and Bernard {de Baets} and Willem Waegeman},
    journal = {Neural Computation},
    year = {2018},
    volume = {30},
    number = {8},
    pages = {2245-2283},
    doi = {10.1162/neco_a_01096},
  }