R Observatory: Metrics for GGoutlieR version 1.0.2

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

GGoutlieR

1.0.2Package record

Identify Individuals with Unusual Geo-Genetic Patterns

0packages depend

2.7Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Che-Wei ChangCRAN page ↗

Identify and visualize individuals with unusual association patterns of genetics and geography using the approach of Chang and Schmid (2023) doi:10.1101/2023.04.06.535838. It detects potential outliers that violate the isolation-by-distance assumption using the K-nearest neighbor approach. You can obtain a table of outliers with statistics and visualize unusual geo-genetic patterns on a geographical map. This is useful for landscape genomics studies to discover individuals with unusual geography and genetics associations from a large biological sample.

Install

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

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

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

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-ggoutlier

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

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-GGoutlieR

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-GGoutlieR

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 2.1 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.0.2

READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 11
Examples that run: 100%3 run in a plain check
Exported functions with examples: 50%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 0%

How these are measured

Downloads

2.7K

CRAN downloads in the past year

Rank #16,742 · ~7/day · ~227/mo

Releases R versions

Daily download trend is not available in this view yet.

30430 days

75390 days

2.7K1 year

Compare downloads with other packages →

Also on84 r2u6 autocran

How downloads are counted

Dependencies

Declared dependencies

13 external dependencies (excludes base and recommended)

Installing GGoutlieR adds 59 packages (36 with compiled code, 57 MB of source tarballs). Heaviest: stringi 11 MB, sf 9.3 MB, ggplot2 6.0 MB.

Depends (1)

R >= 3.5.0

Imports (16)

stats4FastKNN foreach doParallelparallelscales RColorBrewer ggforce rlangstatstidyrutilsrnaturalearth sf ggplot2 cowplot

LinkingTo (0)

none

Suggests (1)

rnaturalearthdata

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (2)

Che-Wei Chang

Author, Maintainer since 1.0.0 (2023)

Karl Schmid

Thesis advisor

Releases (3)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
1.0.2Latest
record
2023-10-15 · current release · diff ↗
1.0.1
record
2023-10-10 · diff ↗
1.0.0
record
2023-06-09
R
R 4.3.0 released · 2023-04-21

Package metadata

First published: 2023-06-09
Total releases: 3 / 3 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 3.5.0
Bundled data: 251 KB / 3 files
Download size: 285 KB

Appears in task views

Anomaly Detection

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("GGoutlieR")

Format

Chang, C., & Schmid, K. (2023). GGoutlieR: Identify Individuals with Unusual Geo-Genetic Patterns (Version 1.0.2) [Computer software]. https://doi.org/10.32614/CRAN.package.GGoutlieR

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 GGoutlieR version 1.0.2 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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