print.deviation_test

Print method for the class 'deviation_test'

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>.

Mari Myllym<c3><a4>ki

Global Envelopes

Mari Myllymäki

Tomáš Mrkvička

Mikko Kuronen

Jiří Dvořák

Pavel Grabarnik

Ute Hahn

Michael Rost

Henri Seijo

print.deviation_test function

<dl><dt>x</dt>
<dd>an 'deviation_test' object</dd>
<dt>...</dt>
<dd>Ignored.</dd></dl>

Arguments

Print method for the class 'deviation_test' — print.deviation_test

<dl>

<dt>x</dt>
<dd>an 'deviation_test' object</dd>


<dt>...</dt>
<dd>Ignored.</dd>

</dl>

print.deviation_test: Print method for the class 'deviation_test'

Description

Usage

Arguments