JOUSBoost
Implements Under/Oversampling for Probability Estimation
Implements under/oversampling for probability estimation. To be used with machine learning methods such as AdaBoost, random forests, etc.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
2.1.0 |
rolling linux/jammy R-4.5 | JOUSBoost_2.1.0.tar.gz |
394.9 KiB |
2.1.0 |
rolling linux/noble R-4.5 | JOUSBoost_2.1.0.tar.gz |
396.0 KiB |
2.1.0 |
rolling source/ R- | JOUSBoost_2.1.0.tar.gz |
1.3 MiB |
2.1.0 |
latest linux/jammy R-4.5 | JOUSBoost_2.1.0.tar.gz |
394.9 KiB |
2.1.0 |
latest linux/noble R-4.5 | JOUSBoost_2.1.0.tar.gz |
396.0 KiB |
2.1.0 |
latest source/ R- | JOUSBoost_2.1.0.tar.gz |
1.3 MiB |
2.1.0 |
2026-04-26 source/ R- | JOUSBoost_2.1.0.tar.gz |
1.3 MiB |
2.1.0 |
2026-04-23 source/ R- | JOUSBoost_2.1.0.tar.gz |
1.3 MiB |
2.1.0 |
2026-04-09 windows/windows R-4.5 | JOUSBoost_2.1.0.zip |
715.5 KiB |
2.1.0 |
2025-04-20 source/ R- | JOUSBoost_2.1.0.tar.gz |
1.3 MiB |