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GET  

Global Envelopes
View on CRAN: Click here


Download and install GET package within the R console
Install from CRAN:
install.packages("GET")

Install from Github:
library("remotes")
install_github("cran/GET")

Install by package version:
library("remotes")
install_version("GET", "1.0-7")



Attach the package and use:
library("GET")
Maintained by
Mari Myllymäki
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-07-12
Latest Update: 2025-05-19
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 Myllym
How to cite:
Mari Myllymäki (2019). GET: Global Envelopes. R package version 1.0-7, https://cran.r-project.org/web/packages/GET. Accessed 06 Mar. 2026.
Previous versions and publish date:
0.1-3 (2019-07-12 18:10), 0.1-4 (2019-11-21 07:20), 0.1-5 (2020-02-11 08:30), 0.1-6 (2020-03-06 06:30), 0.1-7 (2020-04-22 20:04), 0.1-8 (2020-08-29 09:30), 0.2-1 (2020-12-12 16:30), 0.2-2 (2021-01-14 10:50), 0.2-4 (2021-03-21 09:00), 0.2-5 (2022-01-14 18:02), 0.2 (2020-10-24 17:20), 0.3-1 (2022-08-17 09:40), 0.3-2 (2022-11-16 16:40), 0.4 (2023-04-20 18:32), 0.5 (2023-09-29 17:32), 1.0-2 (2024-05-02 00:45), 1.0-3 (2024-08-20 00:50), 1.0-4 (2024-12-02 11:20), 1.0-5 (2025-03-30 16:40), 1.0 (2024-01-19 14:20)
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