Implementation of global envelopes for a set of general ddimensional vectors T in various applications. A 100(1alpha)% 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. goodnessoffit testing for point patterns and random sets, functional analysis of variance, functional general linear model, nsample 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 (2019) <arXiv:1911.06583>, Myllymäki et al. (2017) <doi: 10.1111/rssb.12172>, Mrkvička et al. (2017) <doi: 10.1007/s1122201696839>, 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>.
Package details 


Author  Mari Myllymäki [aut, cre], Tomáš Mrkvička [aut], Pavel Grabarnik [ctb], Ute Hahn [ctb], Mikko Kuronen [ctb], Michael Rost [ctb], Henri Seijo [ctb] 
Maintainer  Mari Myllymäki <[email protected]> 
License  GPL3 
Version  0.15 
Package repository  View on CRAN 
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