SMLoutliers
Outlier Detection Using Statistical and Machine Learning Methods
Local Correlation Integral (LOCI) method for outlier identification is implemented here. The LOCI method developed here is invented in Breunig, et al. (2000), see <doi:10.1145/342009.335388>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1 |
rolling linux/jammy R-4.5 | SMLoutliers_0.1.tar.gz |
15.6 KiB |
0.1 |
rolling linux/noble R-4.5 | SMLoutliers_0.1.tar.gz |
15.6 KiB |
0.1 |
rolling source/ R- | SMLoutliers_0.1.tar.gz |
3.4 KiB |
0.1 |
latest linux/jammy R-4.5 | SMLoutliers_0.1.tar.gz |
15.6 KiB |
0.1 |
latest linux/noble R-4.5 | SMLoutliers_0.1.tar.gz |
15.6 KiB |
0.1 |
latest source/ R- | SMLoutliers_0.1.tar.gz |
3.4 KiB |
0.1 |
2026-04-26 source/ R- | SMLoutliers_0.1.tar.gz |
3.4 KiB |
0.1 |
2026-04-23 source/ R- | SMLoutliers_0.1.tar.gz |
3.4 KiB |
0.1 |
2026-04-09 windows/windows R-4.5 | SMLoutliers_0.1.zip |
19.1 KiB |
0.1 |
2025-04-20 source/ R- | SMLoutliers_0.1.tar.gz |
3.4 KiB |