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aIc

1.0

Testing for Compositional Pathologies in Datasets

0packages depend
3.5Kdownloads / year
test coverage
11/13checks pass

Overview

About
Maintained by Greg GloorFirst published 2022-10-041 releasesCRAN page ↗GitHub ↗

A set of tests for compositional pathologies. Tests for coherence of correlations with aIc.coherent() as suggested by (Erb et al. (2020) doi:10.1016/j.acags.2020.100026), compositional dominance of distance with aIc.dominant(), compositional perturbation invariance with aIc.perturb() as suggested by (Aitchison (1992) doi:10.1007/BF00891269) and singularity of the covariation matrix with aIc.singular(). Currently tests five data transformations: prop, clr, TMM, TMMwsp, and RLE from the R packages 'ALDEx2', 'edgeR' and 'DESeq2' (Fernandes et al (2014) doi:10.1186/2049-2618-2-15, Anders et al. (2013)doi:10.1038/nprot.2013.099).

Install

Health

CRAN checks
2NOTE11OK
Failing flavors
  • NOTE r-devel-linux-x86_64-debian-clang
  • NOTE r-devel-linux-x86_64-debian-gcc
Slowest check: 6.8 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
6
Dependencies · direct
Check history
  • NOTE2026-06-09
    11 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    11 OK · 1 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • NOTE2026-05-10
    11 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-05-03
    10 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • NOTE2026-03-10
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
0%

Downloads

3.5K
CRAN downloads in the past year
Rank #9,828 · ~10/day · ~291/mo
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27130 days
95990 days
3.5K1 year
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Repository

Repository
2Stars
0Forks
0Open issues
0Open PRs
0Releases
28Commits
1Contributors
License GPL-3.0 · 28 commits · Last activity 2024-01-18

Stars over time

2022-07-19 · 22026-07-07 · 2

Repository practices

Upstream repositoryBeta

Checks run against github.com/ggloor/aic 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
9 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5.0
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (0)

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Listed in earlier versions (1)
no longer listed · 1.0
Package Timeline

1 release. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.0Latest
    2026-03-10 · current release
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2022-10-04
Total releases
1 / 4 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 3.5.0
Bundled data
1.8 MB / 6 files
Download size
2.7 MB
Installed size
not tracked yet
With dependencies
not tracked yet
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("aIc")

Cite the R Observatory

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

APA

Balamuta, J. J. (2026). R Observatory: Metrics for aIc version 1.0 [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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