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AIDA

0.2.0

Analysis of Interval DAta

0packages depend
1.4Kdownloads / year
93.0%test coverage
13/13checks pass

Overview

About
Maintained by Catarina P. LoureiroFirst published 2026-05-132 releasesCRAN page ↗GitHub ↗

Tools for the analysis of interval-valued data, including construction, visualization, and statistical modeling. The package provides the 'intData' class for representing interval-valued data, along with functions to aggregate microdata and to estimate parameters of latent distributions. Barycenter and covariance matrix estimation is implemented based on the Mallows distance (Oliveira et al. (2025) doi:10.48550/arXiv.2407.05105). Robust estimation of the symbolic covariance matrix is implemented via the Interval Minimum Covariance Determinant (IMCD) estimator, enabling outlier detection based on the robust squared Interval-Mahalanobis distance, as proposed by Loureiro et al. (2026b) doi:10.48550/arXiv.2604.26769. Explainable outlier detection is supported through Shapley value based decomposition of the squared robust Interval-Mahalanobis distance, allowing assessment of variable contributions to outlyingness (Loureiro et al. (2026a) doi:10.48550/arXiv.2606.26307). Shapley interaction indices are also implemented, along with visualization tools to support interpretation of the results.

Install

Health

CRAN checks
13OK
Slowest check: 6.5 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.56
93.0%
Coverage · measured lines
100%
Documentation · exports
8
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
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-05-13
    7 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 250 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
99%
Return-value docs
100%
References docs
32%

Downloads

1.4K
CRAN downloads in the past year
Rank #7,455 · ~4/day · ~119/mo
Daily download trend is not available in this view yet.
23630 days
1.1K90 days
1.4K1 year
Compare downloads with other packages →
Also on28 r2u26 autocran

Repository

Repository
0Stars
0Forks
0Open issues
0Open PRs
0Releases
imcdinterval-mahalanobis-distanceinterval-valued-dataoutlier-detectionstatisticssymbolic-data
Last activity 2026-06-29

Repository practices

Upstream repositoryBeta

4 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/catarinaploureiro/aida on 2026-08-16.

Continuous integration (1)
GitHub Actions
Reproducibility and dev environment (1)
data-raw/
CRAN release process (1)
cran-comments.md
Docs source (1)
README.Rmd
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
16 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.6
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (1)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Package Timeline

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

  • 0.2.0Latest
    2026-06-30 · current release · diff ↗
  • 0.1.5
    2026-05-13
  • R
    R 4.6.0 released · 2026-04-24

Package metadata

First published
2026-05-13
Total releases
2 / 1 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 3.6
Bundled data
5.6 MB / 4 files
Download size
6.1 MB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("AIDA")
Catarina P. Loureiro. (2026). AIDA: Analysis of Interval DAta (Version 0.2.0) [Computer software]. https://doi.org/10.32614/CRAN.package.AIDA

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for AIDA version 0.2.0 [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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