MOutliers
Multivariate Outlier Detection Methods
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'.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.1 |
rolling linux/jammy R-4.5 | MOutliers_0.1.1.tar.gz |
141.3 KiB |
0.1.1 |
rolling linux/noble R-4.5 | MOutliers_0.1.1.tar.gz |
142.1 KiB |
0.1.1 |
rolling source/ R- | MOutliers_0.1.1.tar.gz |
114.8 KiB |
0.1.1 |
latest linux/jammy R-4.5 | MOutliers_0.1.1.tar.gz |
141.3 KiB |
0.1.1 |
latest linux/noble R-4.5 | MOutliers_0.1.1.tar.gz |
142.1 KiB |
0.1.1 |
latest source/ R- | MOutliers_0.1.1.tar.gz |
114.8 KiB |
0.1.1 |
2026-04-23 source/ R- | MOutliers_0.1.1.tar.gz |
0 B |