Package: GET
Version: 1.0-8
Date: 2026-07-02
Title: Global Envelopes
Encoding: UTF-8
Authors@R: c(
    person(given = 'Mari', family = 'Myllymäki', role = c('aut', 'cre'),
    email = 'mari.myllymaki@luke.fi',
    comment = c(ORCID = "0000-0002-2713-7088")),
    person(given = 'Tomáš', family = 'Mrkvička', role = 'aut',
    email = 'mrkvicka.toma@gmail.com'),
    person(given = 'Mikko', family = 'Kuronen', role = 'ctb',
    email = 'mikko.kuronen@luke.fi'),
    person(given = 'Jiří', family = 'Dvořák', role = 'ctb',
    email = 'dvorak@karlin.mff.cuni.cz'),
    person(given = 'Pavel', family = 'Grabarnik', role = 'ctb',
    email = 'gpya@rambler.ru'),
    person(given = 'Ute', family = 'Hahn', role = 'ctb',
    email = 'ute@math.au.dk'),
    person(given = 'Michael', family = 'Rost', role = 'ctb',
    email = 'rost@ef.jcu.cz'),
    person(given = 'Henri', family = 'Seijo', role = 'ctb',
    email = 'henri.seijo@iki.fi')
    )
Maintainer: Mari Myllymäki <mari.myllymaki@luke.fi>
Imports: cluster, ggplot2, grDevices, grid, gridExtra, parallel, rlang,
        stats, utils, viridisLite
Suggests: crayon, datasets, geoR, gstat, fda, fda.usc, locfit, mvtnorm,
        patchwork, quantreg, R.rsp, sf, sp, spatstat.explore,
        spatstat.geom, spatstat.Knet, spatstat.linnet, spatstat.model,
        spatstat.random, testthat
Description: Implementation of global envelopes for a set of general
        d-dimensional vectors T in various applications. A
        100(1-alpha)% global envelope is a band bounded by two vectors
        such that the probability that T falls outside this envelope in
        any of the d points is equal to alpha. Global means that the
        probability is controlled simultaneously for all the d elements
        of the vectors. The global envelopes can be used for graphical
        Monte Carlo and permutation tests where the test statistic is a
        multivariate vector or function (e.g. goodness-of-fit testing
        for point patterns and random sets, functional analysis of
        variance, functional general linear model, n-sample test of
        correspondence of distribution functions), for central regions
        of functional or multivariate data (e.g. outlier detection,
        functional boxplot) and for global confidence and prediction
        bands (e.g. confidence band in polynomial regression, Bayesian
        posterior prediction). See Myllymäki and Mrkvička (2024)
        <doi:10.18637/jss.v111.i03>, Myllymäki et al. (2017)
        <doi:10.1111/rssb.12172>, Mrkvička and Myllymäki (2023)
        <doi:10.1007/s11222-023-10275-7>, Mrkvička et al. (2016)
        <doi:10.1016/j.spasta.2016.04.005>, Mrkvička et al. (2017)
        <doi:10.1007/s11222-016-9683-9>, Mrkvička et al. (2020)
        <doi:10.14736/kyb-2020-3-0432>, Mrkvička et al. (2021)
        <doi:10.1007/s11009-019-09756-y>, Myllymäki et al. (2021)
        <doi:10.1016/j.spasta.2020.100436>, Mrkvička et al. (2022)
        <doi:10.1002/sim.9236>, Dai et al. (2022)
        <doi:10.5772/intechopen.100124>, Dvořák and Mrkvička (2022)
        <doi:10.1007/s00180-021-01134-y>, Mrkvička et al. (2023)
        <doi:10.48550/arXiv.2309.04746>, and Konstantinou et al. (2024)
        <doi: 10.1007/s00180-024-01569-z>.
License: GPL-3
RoxygenNote: 7.3.3
URL: https://github.com/myllym/GET
BugReports: https://github.com/myllym/GET/issues
VignetteBuilder: R.rsp
Repository: https://myllym.r-universe.dev
Date/Publication: 2026-07-02 20:53:04 UTC
RemoteUrl: https://github.com/myllym/get
RemoteRef: HEAD
RemoteSha: 767174740cf188ea8520e9d8adf1be2006fed2ae
NeedsCompilation: no
Packaged: 2026-07-02 22:45:40 UTC; root
Author: Mari Myllymäki [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-2713-7088>),
  Tomáš Mrkvička [aut],
  Mikko Kuronen [ctb],
  Jiří Dvořák [ctb],
  Pavel Grabarnik [ctb],
  Ute Hahn [ctb],
  Michael Rost [ctb],
  Henri Seijo [ctb]