Package: GET
Version: 0.1-8
Date: 2020-8-27
Title: Global Envelopes
Encoding: UTF-8
Authors@R: c(
    person(given = 'Mari', family = 'Myllymäki', role = c('aut', 'cre'),
    email = 'mari.myllymaki@luke.fi'),
    person(given = 'Tomáš', family = 'Mrkvička', role = 'aut',
    email = 'mrkvicka.toma@gmail.com'),
    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 = 'Mikko', family = 'Kuronen', role = 'ctb',
    email = 'mikko.kuronen@luke.fi'),
    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: ggplot2, graphics, gridExtra, methods, parallel, spatstat,
        stats, utils
Suggests: gstat, sp, fda, fda.usc, mvtnorm, testthat, knitr, rmarkdown
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 (2020) <arXiv:1911.06583>,
    Myllymäki et al. (2017) <doi: 10.1111/rssb.12172>, Mrkvička et al. (2017) <doi: 10.1007/s11222-016-9683-9>,
    Mrkvička et al. (2016) <doi: 10.1016/j.spasta.2016.04.005>, Mrkvička et al. (2018) <arXiv:1612.03608>,
    Mrkvička et al. (2019) <arXiv:1906.09004>, Mrkvička et al. (2019) <arXiv:1902.04926>.
License: GPL-3
RoxygenNote: 7.1.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-08-28 15:10:23 UTC; 03080687
Author: Mari Myllymäki [aut, cre],
  Tomáš Mrkvička [aut],
  Pavel Grabarnik [ctb],
  Ute Hahn [ctb],
  Mikko Kuronen [ctb],
  Michael Rost [ctb],
  Henri Seijo [ctb]
Repository: CRAN
Date/Publication: 2020-08-29 07:30:02 UTC
