iBST
Improper Bagging Survival Tree
Fit a full or subsampling bagging survival tree on a mixture of population (susceptible and nonsusceptible) using either a pseudo R2 criterion or an adjusted Logrank criterion. The predictor is evaluated using the Out Of Bag Integrated Brier Score (IBS) and several scores of importance are computed for variable selection. The thresholds values for variable selection are computed using a nonparametric permutation test. See 'Cyprien Mbogning' and 'Philippe Broet' (2016)<doi:10.1186/s12859-016-1090-x> for an overview about the methods implemented in this package.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.2 |
rolling source/ R- | iBST_1.2.tar.gz |
25.6 KiB |
1.2 |
rolling linux/jammy R-4.5 | iBST_1.2.tar.gz |
122.9 KiB |
1.2 |
rolling linux/noble R-4.5 | iBST_1.2.tar.gz |
124.0 KiB |
1.2 |
latest source/ R- | iBST_1.2.tar.gz |
25.6 KiB |
1.2 |
latest linux/jammy R-4.5 | iBST_1.2.tar.gz |
122.9 KiB |
1.2 |
latest linux/noble R-4.5 | iBST_1.2.tar.gz |
124.0 KiB |
1.2 |
2026-04-26 source/ R- | iBST_1.2.tar.gz |
25.6 KiB |
1.2 |
2026-04-23 source/ R- | iBST_1.2.tar.gz |
25.6 KiB |
1.2 |
2026-04-09 windows/windows R-4.5 | iBST_1.2.zip |
444.6 KiB |
1.2 |
2025-04-20 source/ R- | iBST_1.2.tar.gz |
25.6 KiB |