R Observatory: Metrics for influenceAUC version 0.1.2

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

influenceAUC

0.1.2

Identify Influential Observations in Binary Classification

0packages depend

2.3Kdownloads / year

–test coverage

13/13checks pass

Overview

About

Maintained by Bo-Shiang KeFirst published 2020-01-313 releasesCRAN page ↗GitHub ↗

Ke, B. S., Chiang, A. J., & Chang, Y. C. I. (2018) doi:10.1080/10543406.2017.1377728 provide two theoretical methods (influence function and local influence) based on the area under the receiver operating characteristic curve (AUC) to quantify the numerical impact of each observation to the overall AUC. Alternative graphical tools, cumulative lift charts, are proposed to reveal the existences and approximate locations of those influential observations through data visualization.

Install

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

install.packages("influenceAUC", 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("BoShiangKe/InfluenceAUC")

Development version from BoShiangKe/InfluenceAUC. 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-influenceauc

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-influenceAUC

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-influenceAUC

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

Health

CRAN checks

13OK

Slowest check: 1.8 min · r-oldrel-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

6

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
OK2026-04-25
12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-03-10
11 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 100%
Return-value docs: 75%
References docs: 29%

Downloads

2.3K

CRAN downloads in the past year

Rank #18,601 · ~6/day · ~195/mo

Releases R versions

Daily download trend is not available in this view yet.

17130 days

59090 days

2.3K1 year

Compare downloads with other packages →

Also on99 r2u13 autocran

Repository

GitHub ↗ boshiangke/influenceauc

0Stars

0Forks

0Open issues

0Open PRs

1Releases

46Commits

3Contributors

46 commits · Last activity 2026-02-07

Releases over time

2021-01-31 · 12026-07-07 · 1

Repository practices

Upstream repositoryBeta

2 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/boshiangke/influenceauc on 2026-08-16.

Continuous integration (1)

GitHub Actions

Lint, format, editor (1)

RStudio project

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

Dependencies

Declared dependencies

5 external dependencies (excludes base and recommended)

Depends (0)

none

Imports (6)

dplyr geigen ggplot2 ggrepelmethodsROCR

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (3)

Maintainer (1)

Bo-Shiang Ke

Maintainer, Author, Copyright holder

Authors (3)

Bo-Shiang Ke

Maintainer, Author, Copyright holder

Yuan-chin Ivan Chang

Author

Wen-Ting Wang

Author

Copyright holders (1)

Bo-Shiang Ke

Maintainer, Author, Copyright holder

Package Timeline

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

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
R
R 4.3.0 released · 2023-04-21
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
0.1.2Latest
2020-05-30 · current release · diff ↗
R
R 4.0.0 released · 2020-04-24
0.1.1
2020-02-19 · diff ↗
0.1.0
2020-01-31
R
R 3.6.0 released · 2019-04-26

Package metadata

First published: 2020-01-31
Total releases: 3 / 6 yrs
License: GPL-3 OSI
Download size: 11 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("influenceAUC")

Format

Ke, B., Chang, Y. I., & Wang, W. (2020). influenceAUC: Identify Influential Observations in Binary Classification (Version 0.1.2) [Computer software]. https://doi.org/10.32614/CRAN.package.influenceAUC

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 influenceAUC version 0.1.2 [Data set]. HJJB, LLC. Data release v2026-08-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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