icRSF
A Modified Random Survival Forest Algorithm
Implements a modification to the Random Survival Forests algorithm for obtaining variable importance in high dimensional datasets. The proposed algorithm is appropriate for settings in which a silent event is observed through sequentially administered, error-prone self-reports or laboratory based diagnostic tests. The modified algorithm incorporates a formal likelihood framework that accommodates sequentially administered, error-prone self-reports or laboratory based diagnostic tests. The original Random Survival Forests algorithm is modified by the introduction of a new splitting criterion based on a likelihood ratio test statistic.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.2 |
rolling source/ R- | icRSF_1.2.tar.gz |
102.2 KiB |
1.2 |
rolling linux/jammy R-4.5 | icRSF_1.2.tar.gz |
223.3 KiB |
1.2 |
rolling linux/noble R-4.5 | icRSF_1.2.tar.gz |
224.7 KiB |
1.2 |
latest source/ R- | icRSF_1.2.tar.gz |
102.2 KiB |
1.2 |
latest linux/jammy R-4.5 | icRSF_1.2.tar.gz |
223.3 KiB |
1.2 |
latest linux/noble R-4.5 | icRSF_1.2.tar.gz |
224.7 KiB |
1.2 |
2026-04-26 source/ R- | icRSF_1.2.tar.gz |
102.2 KiB |
1.2 |
2026-04-23 source/ R- | icRSF_1.2.tar.gz |
102.2 KiB |
1.2 |
2026-04-09 windows/windows R-4.5 | icRSF_1.2.zip |
544.2 KiB |
1.2 |
2025-04-20 source/ R- | icRSF_1.2.tar.gz |
102.2 KiB |