GET
1.0-9Global Envelopes
Overview
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>.
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- OK2026-07-2213 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-07-1212 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-06-2713 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- WARNING2026-06-1412 OK · 0 NOTE · 1 WARNING · 0 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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People & History
23 releases. R releases are shown for context.
- 1.0-9Latest
- 1.0-82026-07-03 · diff ↗
- RR 4.6.0 released · 2026-04-24
- 1.0-72025-05-19 · diff ↗
- RR 4.5.0 released · 2025-04-11
- 1.0-52025-03-30 · diff ↗
- 1.0-42024-12-02 · diff ↗
- 1.0-32024-08-20 · diff ↗
- 1.0-22024-05-02 · diff ↗
- RR 4.4.0 released · 2024-04-24
- 1.02024-01-19 · diff ↗
- 0.52023-09-29 · diff ↗
- RR 4.3.0 released · 2023-04-21
- 0.42023-04-20 · diff ↗
- 0.3-22022-11-16 · diff ↗
- 0.3-12022-08-17 · diff ↗
Show 15 earlier events
- RR 4.2.0 released · 2022-04-22
- 0.2-52022-01-14 · diff ↗
- RR 4.1.0 released · 2021-05-18
- 0.2-42021-03-21 · diff ↗
- 0.2-22021-01-14 · diff ↗
- 0.2-12020-12-12 · diff ↗
- 0.22020-10-24 · diff ↗
- 0.1-82020-08-29 · diff ↗
- RR 4.0.0 released · 2020-04-24
- 0.1-72020-04-22 · diff ↗
- 0.1-62020-03-06 · diff ↗
- 0.1-52020-02-11 · diff ↗
- 0.1-42019-11-21 · diff ↗
- 0.1-32019-07-12
- RR 3.6.0 released · 2019-04-26
Package metadata
- First published
- 2019-07-12
- Total releases
- 23 / 7 yrs
- License
- GPL-3 OSI
- Download size
- 4.7 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet