print.combined_global_envelope

<p>an 'combined_global_envelope' object</p>

<p>Print method for the class 'global_envelope'</p>

Implementation of global envelopes with intrinsic graphical interpretation which 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 Myllym<c3><a4>ki et al. (2017) <doi: 10.1111/rssb.12172>, Mrkvi<c4><8d>ka et al. (2017) <doi: 10.1007/s11222-016-9683-9>, Mrkvi<c4><8d>ka et al. (2016) <doi: 10.1016/j.spasta.2016.04.005>, Mrkvi<c4><8d>ka et al. (2018) <arXiv:1612.03608>, Mrkvi<c4><8d>ka et al. (2019) <arXiv:1906.09004>, Mrkvi<c4><8d>ka et al. (2019) <arXiv:1902.04926>.

Mari Myllym<c3><a4>ki

Global Envelopes

Tom<c3><a1><c5><a1> Mrkvi<c4><8d>ka

Pavel Grabarnik

Ute Hahn

Mikko Kuronen

Michael Rost

Henri Seijo

print.combined_global_envelope function

Print method for the class 'global_envelope' — print.combined_global_envelope

Print method for the class 'global_envelope'

print.combined_global_envelope: Print method for the class 'global_envelope'

Description

Usage

Arguments