Robust Outlier Detection for Diverse Distributions R package rrobot version 0.1.3 Provides robust outlier detection techniques for identifying anomalies in multivariate data, with a focus on methods that remain effective under non-Gaussian distributions. For more details see Saluja, Parlak, and Mejia (2026+) <doi:10.48550/arXiv.2505.11806>. Software Depends: R (>= 3.6.0) Imports: MASS, stats, cellWise, expm, robustbase, gamlss, imputeTS, isotree, ggplot2, tidyr, reshape2, rlang Suggests: knitr, rmarkdown, testthat (>= 3.0.0) Amanda Mejia <mandy.mejia@gmail.com> Comprehensive R Archive Network (CRAN) Amanda Mejia [aut, cre], Damon Pham [ctb] (ORCID: <https://orcid.org/0000-0001-7563-4727>), Saranjeet Singh Saluja [ctb], Fatma Parlak [ctb], Zeshawn Zahid [ctb] GPL-3 2026-03-09 application/tgz https://CRAN.R-project.org/package=rrobot doi:10.32614/CRAN.package.rrobot en-US