roseRF
ROSE Random Forests for Robust Semiparametric Efficient Estimation
ROSE (RObust Semiparametric Efficient) random forests for robust semiparametric efficient estimation in partially parametric models (containing generalised partially linear models). Details can be found in the paper by Young and Shah (2024) <doi:10.48550/arXiv.2410.03471>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | roseRF_0.1.0.tar.gz |
98.3 KiB |
0.1.0 |
rolling linux/noble R-4.5 | roseRF_0.1.0.tar.gz |
98.2 KiB |
0.1.0 |
rolling source/ R- | roseRF_0.1.0.tar.gz |
15.7 KiB |
0.1.0 |
latest linux/jammy R-4.5 | roseRF_0.1.0.tar.gz |
98.3 KiB |
0.1.0 |
latest linux/noble R-4.5 | roseRF_0.1.0.tar.gz |
98.2 KiB |
0.1.0 |
latest source/ R- | roseRF_0.1.0.tar.gz |
15.7 KiB |
0.1.0 |
2026-04-26 source/ R- | roseRF_0.1.0.tar.gz |
15.7 KiB |
0.1.0 |
2026-04-23 source/ R- | roseRF_0.1.0.tar.gz |
15.7 KiB |
0.1.0 |
2026-04-09 windows/windows R-4.5 | roseRF_0.1.0.zip |
100.4 KiB |
0.1.0 |
2025-04-20 source/ R- | roseRF_0.1.0.tar.gz |
15.7 KiB |