To cite package ‘GET’ in publications use:
Myllymäki M, Mrkvička T (2020). “GET: Global envelopes in R.” arXiv:1911.06583 [stat.ME]. https://arxiv.org/abs/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:
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.
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, 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.
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.
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.
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.
Corresponding BibTeX entries:
@Article{, title = {GET: Global envelopes in R}, author = {M. Myllymäki and T. Mrkvička}, journal = {arXiv:1911.06583 [stat.ME]}, year = {2020}, url = {https://arxiv.org/abs/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 = {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 = {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 = {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 = {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 = {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 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}, }