R Observatory: Metrics for GET version 1.0-9

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

GET

1.0-9

Global Envelopes

7packages depend

22.9Kdownloads / year

23.7%test coverage

13/13checks pass

Overview

About

Maintained by Mari MyllymäkiFirst published 2019-07-1223 releasesCRAN page ↗GitHub ↗

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>.

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("GET", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("myllym/GET")

Development version from myllym/GET. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-get

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-GET

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-GET

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 7.3 min · r-release-macos-x86_64

Code health

Yes

Tests · ratio 0.02

23.7%

Coverage · measured lines

100%

Documentation · exports

10

Dependencies · direct

Check history

OK2026-08-05
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-07-22
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-07-12
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-06-27
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Show 2 earlier snapshots

WARNING2026-06-14
12 OK · 0 NOTE · 1 WARNING · 0 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 849 wordsVignettesNopkgdown siteNoNEWSYes · 33% structuredCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 98%
Return-value docs: 63%
References docs: 51%

Downloads

22.9K

CRAN downloads in the past year

Rank #3,132 · ~63/day · ~1.9K/mo

Releases R versions

Daily download trend is not available in this view yet.

1.3K30 days

3.8K90 days

22.9K1 year

Compare downloads with other packages →

Also on361 r2u25 autocran24 c2d4u

Repository

GitHub ↗ myllym/get

14Stars

6Forks

0Open issues

0Open PRs

0Releases

2,695Commits

7Contributors

2,695 commits · Last activity 2026-07-19 · 0% stars, 30d

Stars over time

2025-02-19 · 102026-07-07 · 14

Repository practices

Upstream repositoryBeta

Checks run against github.com/myllym/get on 2026-08-16.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

23 external dependencies (excludes base and recommended)

Depends (1)

R >= 2.10

Imports (10)

clusterggplot2grDevicesgridgridExtraparallelrlangstatsutilsviridisLite

LinkingTo (0)

none

Suggests (20)

crayondatasetsgeoR gstat fda fda.usc locfit mvtnorm patchwork quantreg R.rsp sf sp spatstat.explore spatstat.geom spatstat.Knet spatstat.linnet spatstat.model spatstat.random testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

7direct

1indirect

NTSS SepTest dispRity ecostats ldmppr markstat pphotspot

Code & Tests

Datasets

People & History

People (8)

Maintainer (1)

Mari Myllymäki

Author, Maintainer

Authors (2)

Mari Myllymäki

Author, Maintainer

Tomáš Mrkvička

Author

Contributors (6)

Jiří Dvořák

Contributor · added in 0.3-2

Contributor

Contributor

Contributor

Contributor

Contributor

Package Timeline

23 releases. Pick two to compare their code metrics. R releases are shown for context.

1.0-9Latest
2026-07-19 · current release · diff ↗
1.0-8
2026-07-03 · diff ↗
R
R 4.6.0 released · 2026-04-24
1.0-7
2025-05-19 · diff ↗
R
R 4.5.0 released · 2025-04-11
1.0-5
2025-03-30 · diff ↗
1.0-4
2024-12-02 · diff ↗
1.0-3
2024-08-20 · diff ↗
1.0-2
2024-05-02 · diff ↗
R
R 4.4.0 released · 2024-04-24
1.0
2024-01-19 · diff ↗
0.5
2023-09-29 · diff ↗
R
R 4.3.0 released · 2023-04-21
0.4
2023-04-20 · diff ↗
0.3-2
2022-11-16 · diff ↗
0.3-1
2022-08-17 · diff ↗

Show 15 earlier events

R
R 4.2.0 released · 2022-04-22
0.2-5
2022-01-14 · diff ↗
R
R 4.1.0 released · 2021-05-18
0.2-4
2021-03-21 · diff ↗
0.2-2
2021-01-14 · diff ↗
0.2-1
2020-12-12 · diff ↗
0.2
2020-10-24 · diff ↗
0.1-8
2020-08-29 · diff ↗
R
R 4.0.0 released · 2020-04-24
0.1-7
2020-04-22 · diff ↗
0.1-6
2020-03-06 · diff ↗
0.1-5
2020-02-11 · diff ↗
0.1-4
2019-11-21 · diff ↗
0.1-3
2019-07-12
R
R 3.6.0 released · 2019-04-26

Package metadata

First published: 2019-07-12
Total releases: 23 / 7 yrs
License: GPL-3 OSI
Minimum R: ≥ 2.10
Bundled data: 1.5 MB / 12 files
Download size: 4.0 MB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("GET")

Format

Myllymäki, M., Dvořák, J., Grabarnik, P., Hahn, U., Kuronen, M., Mrkvička, T., Rost, M., & Seijo, H. (2026). GET: Global Envelopes (Version 1.0-9) [Computer software]. https://doi.org/10.32614/CRAN.package.GET

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for GET version 1.0-9 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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