OptSurvCutR
Optimal Survival Cut-Point Discovery for Time-to-Event Analysis with 'OptSurvCutR'
Provides a robust workflow for optimal cut-point analysis in time-to-event ('survival') data. Functions determine the optimal number of cut-points via find_cutpoint_number(), find their precise locations via find_cutpoint() using systematic or genetic algorithms (via the 'rgenoud' package), and validate stability via bootstrapping using validate_cutpoint(). Features include covariate adjustment, parallel processing, and an extensible S3 plotting engine for clinical dashboards and diagnostics.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.10.0 |
rolling linux/jammy R-4.5 | OptSurvCutR_0.10.0.tar.gz |
534.5 KiB |
0.10.0 |
rolling linux/noble R-4.5 | OptSurvCutR_0.10.0.tar.gz |
535.1 KiB |
0.10.0 |
rolling source/ R- | OptSurvCutR_0.10.0.tar.gz |
395.2 KiB |
0.10.0 |
latest linux/jammy R-4.5 | OptSurvCutR_0.10.0.tar.gz |
534.5 KiB |
0.10.0 |
latest linux/noble R-4.5 | OptSurvCutR_0.10.0.tar.gz |
535.1 KiB |
0.10.0 |
latest source/ R- | OptSurvCutR_0.10.0.tar.gz |
395.2 KiB |
0.10.0 |
2026-04-23 source/ R- | OptSurvCutR_0.10.0.tar.gz |
0 B |