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  "Description": "Implementation of global envelopes for a set of general\nd-dimensional vectors T in various applications. A\n100(1-alpha)% global envelope is a band bounded by two vectors\nsuch that the probability that T falls outside this envelope in\nany of the d points is equal to alpha. Global means that the\nprobability is controlled simultaneously for all the d elements\nof the vectors. The global envelopes can be used for graphical\nMonte Carlo and permutation tests where the test statistic is a\nmultivariate vector or function (e.g. goodness-of-fit testing\nfor point patterns and random sets, functional analysis of\nvariance, functional general linear model, n-sample test of\ncorrespondence of distribution functions), for central regions\nof functional or multivariate data (e.g. outlier detection,\nfunctional boxplot) and for global confidence and prediction\nbands (e.g. confidence band in polynomial regression, Bayesian\nposterior prediction). See Myllymäki and Mrkvička (2024)\n<doi:10.18637/jss.v111.i03>, Myllymäki et al. (2017)\n<doi:10.1111/rssb.12172>, Mrkvička and Myllymäki (2023)\n<doi:10.1007/s11222-023-10275-7>, Mrkvička et al. (2016)\n<doi:10.1016/j.spasta.2016.04.005>, Mrkvička et al. (2017)\n<doi:10.1007/s11222-016-9683-9>, Mrkvička et al. (2020)\n<doi:10.14736/kyb-2020-3-0432>, Mrkvička et al. (2021)\n<doi:10.1007/s11009-019-09756-y>, Myllymäki et al. (2021)\n<doi:10.1016/j.spasta.2020.100436>, Mrkvička et al. (2022)\n<doi:10.1002/sim.9236>, Dai et al. (2022)\n<doi:10.5772/intechopen.100124>, Dvořák and Mrkvička (2022)\n<doi:10.1007/s00180-021-01134-y>, Mrkvička et al. (2023)\n<doi:10.48550/arXiv.2309.04746>, and Konstantinou et al. (2024)\n<doi: 10.1007/s00180-024-01569-z>.",
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