To cite package ‘GET’ in publications use:

Myllymäki M, Mrkvička T (2023). “GET: Global envelopes in R.” arXiv:1911.06583 [stat.ME]. https://doi.org/10.48550/arXiv.1911.06583.

Myllymäki M, Mrkvička T, Grabarnik P, Seijo H, Hahn U (2017). “Global envelope tests for spatial processes.” Journal of the Royal Statistical Society: Series B (Statistical Methodology), 79, 381-404. https://dx.doi.org/10.1111/rssb.12172.

and a suitable selection of:

Myllymäki M, Grabarnik P, Seijo H, Stoyan D (2015). “Deviation test construction and power comparison for marked spatial point patterns.” Spatial Statistics, 11, 19–34. https://dx.doi.org/10.1016/j.spasta.2014.11.004.

Mrkvička T, Soubeyrand S, Myllymäki M, Grabarnik P, Hahn U (2016). “Monte Carlo testing in spatial statistics, with applications to spatial residuals.” Spatial Statistics, 18, Part A, 40–53. http://dx.doi.org/10.1016/j.spasta.2016.04.005.

Mrkvička T, Myllymäki M, Hahn U (2017). “Multiple Monte Carlo testing, with applications in spatial point processes.” Statistics and Computing, 27(5), 1239-1255. http://dx.doi.org/10.1007/s11222-016-9683-9.

Mrkvička T, Myllymäki M, Jilek M, Hahn U (2020). “A one-way ANOVA test for functional data with graphical interpretation.” Kybernetika, 53(3), 432-458. https://doi.org/10.14736/kyb-2020-3-0432.

Myllymäki M, Kuronen M, Mrkvička T (2020). “Testing global and local dependence of point patterns on covariates in parametric models.” Spatial Statistics, 42, 100436. https://doi.org/10.1016/j.spasta.2020.100436.

Mrkvička T, Roskovec T, Rost M (2021). “A nonparametric graphical tests of significance in functional GLM.” Methodology and Computing in Applied Probability, 23, 593-61. https://doi.org/10.1007/s11009-019-09756-y.

Dai W, Athanasiadis S, Mrkvička T (2022). “A new functional clustering method with combined dissimilarity sources and graphical interpretation.” Intech open. https://doi.org/10.5772/intechopen.100124.

Dvořák J, Mrkvička T (2022). “Graphical tests of independence for general distributions.” Computational Statistics, 37, 671–699. https://doi.org/10.5772/intechopen.100124.

Mrkvička T, Myllymäki M, Narisetty N (2022). “New methods for multiple testing in permutation inference for the general linear model.” Statistics in Medicine, 41(2), 276-297. https://doi.org/10.1002/sim.9236.

Mrkvička T, Myllymäki M (2023). “False discovery rate envelopes.” Statistics and Computing, 33, 109. https://doi.org/10.1007/s11222-023-10275-7.

Mrkvička T, Konstantinou K, Kuronen M, Myllymäki M (2023). “Global quantile regression.” arXiv:2309.04746 [stat.ME]. https://doi.org/10.48550/arXiv.2309.04746.

Mrkvička T, Kraft S, Blažek V, Myllymäki M (2023). “Hotspot detection on a linear network in the presence of covariates: A case study on road crash data.” SSRN. http://dx.doi.org/10.2139/ssrn.4627591.

Corresponding BibTeX entries:

  @Article{,
    title = {GET: Global envelopes in R},
    author = {M. Myllymäki and T. Mrkvička},
    journal = {arXiv:1911.06583 [stat.ME]},
    year = {2023},
    url = {https://doi.org/10.48550/arXiv.1911.06583},
  }

  @Article{,
    title = {Global envelope tests for spatial processes},
    author = {M. Myllymäki and T. Mrkvička and P. Grabarnik and H.
      Seijo and U. Hahn},
    journal = {Journal of the Royal Statistical Society: Series B
      (Statistical Methodology)},
    year = {2017},
    volume = {79},
    pages = {381-404},
    url = {https://dx.doi.org/10.1111/rssb.12172},
  }

  @Article{,
    title = {Deviation test construction and power comparison for
      marked spatial point patterns},
    author = {M. Myllymäki and P. Grabarnik and H. Seijo and D.
      Stoyan},
    journal = {Spatial Statistics},
    year = {2015},
    volume = {11},
    pages = {19--34},
    url = {https://dx.doi.org/10.1016/j.spasta.2014.11.004},
  }

  @Article{,
    title = {Monte Carlo testing in spatial statistics, with
      applications to spatial residuals},
    author = {T. Mrkvička and S. Soubeyrand and M. Myllymäki and P.
      Grabarnik and U. Hahn},
    journal = {Spatial Statistics},
    year = {2016},
    volume = {18, Part A},
    pages = {40--53},
    url = {http://dx.doi.org/10.1016/j.spasta.2016.04.005},
  }

  @Article{,
    title = {Multiple Monte Carlo testing, with applications in spatial
      point processes},
    author = {T. Mrkvička and M. Myllymäki and U. Hahn},
    journal = {Statistics and Computing},
    year = {2017},
    volume = {27},
    number = {5},
    pages = {1239-1255},
    url = {http://dx.doi.org/10.1007/s11222-016-9683-9},
  }

  @Article{,
    title = {A one-way ANOVA test for functional data with graphical
      interpretation},
    author = {T. Mrkvička and M. Myllymäki and M. Jilek and U. Hahn},
    journal = {Kybernetika},
    year = {2020},
    volume = {53},
    number = {3},
    pages = {432-458},
    url = {https://doi.org/10.14736/kyb-2020-3-0432},
  }

  @Article{,
    title = {Testing global and local dependence of point patterns on
      covariates in parametric models},
    author = {M. Myllymäki and M. Kuronen and T. Mrkvička},
    journal = {Spatial Statistics},
    year = {2020},
    volume = {42},
    pages = {100436},
    url = {https://doi.org/10.1016/j.spasta.2020.100436},
  }

  @Article{,
    title = {A nonparametric graphical tests of significance in
      functional GLM},
    author = {T. Mrkvička and T. Roskovec and M. Rost},
    journal = {Methodology and Computing in Applied Probability},
    year = {2021},
    volume = {23},
    pages = {593-61},
    url = {https://doi.org/10.1007/s11009-019-09756-y},
  }

  @Article{,
    title = {A new functional clustering method with combined
      dissimilarity sources and graphical interpretation},
    author = {W. Dai and S. Athanasiadis and T. Mrkvička},
    journal = {Intech open},
    year = {2022},
    url = {https://doi.org/10.5772/intechopen.100124},
  }

  @Article{,
    title = {Graphical tests of independence for general
      distributions},
    author = {J. Dvořák and T. Mrkvička},
    journal = {Computational Statistics},
    year = {2022},
    volume = {37},
    pages = {671--699},
    url = {https://doi.org/10.5772/intechopen.100124},
  }

  @Article{,
    title = {New methods for multiple testing in permutation inference
      for the general linear model},
    author = {T. Mrkvička and M. Myllymäki and N.N. Narisetty},
    journal = {Statistics in Medicine},
    year = {2022},
    volume = {41},
    number = {2},
    pages = {276-297},
    url = {https://doi.org/10.1002/sim.9236},
  }

  @Article{,
    title = {False discovery rate envelopes},
    author = {T. Mrkvička and M. Myllymäki},
    journal = {Statistics and Computing},
    year = {2023},
    volume = {33},
    pages = {109},
    url = {https://doi.org/10.1007/s11222-023-10275-7},
  }

  @Article{,
    title = {Global quantile regression},
    author = {T. Mrkvička and K. Konstantinou and M. Kuronen and M.
      Myllymäki},
    journal = {arXiv:2309.04746 [stat.ME]},
    year = {2023},
    url = {https://doi.org/10.48550/arXiv.2309.04746},
  }

  @Article{,
    title = {Hotspot detection on a linear network in the presence of
      covariates: A case study on road crash data},
    author = {T. Mrkvička and S. Kraft and V. Blažek and M. Myllymäki},
    journal = {SSRN},
    year = {2023},
    url = {http://dx.doi.org/10.2139/ssrn.4627591},
  }