univOutl
Detection of Univariate Outliers
Provides well-known techniques for detecting univariate outliers. Methods for handling skewed distributions are included. The Hidiroglou-Berthelot (1986) method for detecting outliers in ratios of historical data is also implemented. When available, survey weights can be incorporated in the detection process.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.5.0 |
rolling linux/jammy R-4.5 | univOutl_0.5.0.tar.gz |
85.7 KiB |
0.5.0 |
rolling linux/noble R-4.5 | univOutl_0.5.0.tar.gz |
85.6 KiB |
0.5.0 |
rolling source/ R- | univOutl_0.5.0.tar.gz |
15.8 KiB |
0.5.0 |
latest linux/jammy R-4.5 | univOutl_0.5.0.tar.gz |
85.7 KiB |
0.5.0 |
latest linux/noble R-4.5 | univOutl_0.5.0.tar.gz |
85.6 KiB |
0.5.0 |
latest source/ R- | univOutl_0.5.0.tar.gz |
15.8 KiB |
0.5.0 |
2026-04-26 source/ R- | univOutl_0.5.0.tar.gz |
15.8 KiB |
0.5.0 |
2026-04-23 source/ R- | univOutl_0.5.0.tar.gz |
15.8 KiB |
0.5.0 |
2026-04-09 windows/windows R-4.5 | univOutl_0.5.0.zip |
87.9 KiB |
0.4 |
2025-04-20 source/ R- | univOutl_0.4.tar.gz |
15.3 KiB |