Optimal Survival Cut-Point Discovery for Time-to-Event Analysis with 'OptSurvCutR' R package OptSurvCutR version 0.10.0 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. Software 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 Payton Yau <tungon@gmail.com> Comprehensive R Archive Network (CRAN) Payton Yau [aut, cre, cph] (ORCID: <https://orcid.org/0000-0002-3283-0370>) GPL-3 2026-06-30 application/tgz https://CRAN.R-project.org/package=OptSurvCutR doi:10.32614/CRAN.package.OptSurvCutR en-GB