Analysis of Interval DAta R package AIDA version 0.1.5 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. (2026) <doi:10.48550/arXiv.2604.26769>. Software Depends: R (>= 3.6) Imports: ggplot2, ggrepel, CerioliOutlierDetection, cellWise, geigen, kde1d, plotly, robustbase, MASS, assertthat, methods Suggests: knitr, rmarkdown, testthat (>= 3.0.0), corrplot Catarina P. Loureiro <catarinapadrela@tecnico.ulisboa.pt> Comprehensive R Archive Network (CRAN) Catarina P. Loureiro [aut, cre] (ORCID: <https://orcid.org/0009-0001-9464-5824>) MIT + file LICENSE (https://CRAN.R-project.org/package=AIDA/LICENSE) 2026-05-12 application/tgz https://CRAN.R-project.org/package=AIDA doi:10.32614/CRAN.package.AIDA en-US