Multivariate Outlier Detection Methods R package MOutliers version 0.1.1 Provides methods for detecting multivariate outliers in numeric datasets. The package implements classical Mahalanobis distance, robust Minimum Covariance Determinant (MCD), and Principal Component Analysis (PCA)-based approaches. Visualization functions are included to aid interpretation of detected outliers. Mahalanobis distance calculations are accelerated using 'C++' through 'Rcpp'. Software Imports: Rcpp, stats, MASS, ggplot2, gridExtra, cowplot, rlang LinkingTo: Rcpp Suggests: knitr, rmarkdown, testthat (>= 3.0.0) Senuri Yasara <senuriyasara@gmail.com> Comprehensive R Archive Network (CRAN) Senuri Yasara [aut, cre], Pavanthi Sudasinghe [aut] MIT + file LICENSE (https://CRAN.R-project.org/package=MOutliers/LICENSE) 2026-06-15 application/tgz https://CRAN.R-project.org/package=MOutliers doi:10.32614/CRAN.package.MOutliers