supervisedPRIM
Supervised Classification Learning and Prediction using Patient Rule Induction Method (PRIM)
The Patient Rule Induction Method (PRIM) is typically used for "bump hunting" data mining to identify regions with abnormally high concentrations of data with large or small values. This package extends this methodology so that it can be applied to binary classification problems and used for prediction.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
2.0.0 |
rolling linux/jammy R-4.5 | supervisedPRIM_2.0.0.tar.gz |
17.2 KiB |
2.0.0 |
rolling linux/noble R-4.5 | supervisedPRIM_2.0.0.tar.gz |
17.2 KiB |
2.0.0 |
rolling source/ R- | supervisedPRIM_2.0.0.tar.gz |
5.8 KiB |
2.0.0 |
latest linux/jammy R-4.5 | supervisedPRIM_2.0.0.tar.gz |
17.2 KiB |
2.0.0 |
latest linux/noble R-4.5 | supervisedPRIM_2.0.0.tar.gz |
17.2 KiB |
2.0.0 |
latest source/ R- | supervisedPRIM_2.0.0.tar.gz |
5.8 KiB |
2.0.0 |
2026-04-26 source/ R- | supervisedPRIM_2.0.0.tar.gz |
5.8 KiB |
2.0.0 |
2026-04-23 source/ R- | supervisedPRIM_2.0.0.tar.gz |
5.8 KiB |
2.0.0 |
2026-04-09 windows/windows R-4.5 | supervisedPRIM_2.0.0.zip |
20.5 KiB |
2.0.0 |
2025-04-20 source/ R- | supervisedPRIM_2.0.0.tar.gz |
5.8 KiB |