corrRF
Clustered Random Forests for Optimal Prediction and Inference of Clustered Data
A clustered random forest algorithm for fitting random forests for data of independent clusters, that exhibit within cluster dependence. Details of the method can be found in Young and Buehlmann (2025) <doi:10.48550/arXiv.2503.12634>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.1.0 |
rolling linux/jammy R-4.5 | corrRF_1.1.0.tar.gz |
96.9 KiB |
1.1.0 |
rolling linux/noble R-4.5 | corrRF_1.1.0.tar.gz |
99.5 KiB |
1.1.0 |
rolling source/ R- | corrRF_1.1.0.tar.gz |
10.2 KiB |
1.1.0 |
latest linux/jammy R-4.5 | corrRF_1.1.0.tar.gz |
96.9 KiB |
1.1.0 |
latest linux/noble R-4.5 | corrRF_1.1.0.tar.gz |
99.5 KiB |
1.1.0 |
latest source/ R- | corrRF_1.1.0.tar.gz |
10.2 KiB |
1.1.0 |
2026-04-26 source/ R- | corrRF_1.1.0.tar.gz |
10.2 KiB |
1.1.0 |
2026-04-23 source/ R- | corrRF_1.1.0.tar.gz |
10.2 KiB |
1.1.0 |
2026-04-09 windows/windows R-4.5 | corrRF_1.1.0.zip |
419.2 KiB |
1.1.0 |
2025-04-20 source/ R- | corrRF_1.1.0.tar.gz |
10.2 KiB |