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.
| Version: |
0.10.0 |
| Depends: |
R (≥ 3.5) |
| Imports: |
cli, doParallel, doRNG, foreach, ggplot2, parallel, patchwork, Rcpp, rgenoud, rlang, stats, survival, survminer, tidyr |
| LinkingTo: |
Rcpp |
| Suggests: |
broom, dplyr, knitr, plotly, readxl, rmarkdown, spelling, testthat (≥ 3.0.0), timeROC |
| Published: |
2026-06-30 |
| DOI: |
10.32614/CRAN.package.OptSurvCutR (may not be active yet) |
| Author: |
Payton Yau  [aut,
cre, cph] |
| Maintainer: |
Payton Yau <tungon at gmail.com> |
| BugReports: |
https://github.com/paytonyau/OptSurvCutR/issues |
| License: |
GPL-3 |
| URL: |
https://github.com/paytonyau/OptSurvCutR,
https://paytonyau.github.io/OptSurvCutR/ |
| NeedsCompilation: |
yes |
| Language: |
en-GB |
| Citation: |
OptSurvCutR citation info |
| Materials: |
README, NEWS |
| CRAN checks: |
OptSurvCutR results |
Documentation:
Downloads:
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