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:

Reference manual:	OptSurvCutR.html , OptSurvCutR.pdf
Vignettes:	Analysing Clinical Survival Data with OptSurvCutR (source, R code)

Downloads:

Package source:	OptSurvCutR_0.10.0.tar.gz
Windows binaries:	r-devel: OptSurvCutR_0.10.0.zip, r-release: not available, r-oldrel: OptSurvCutR_0.10.0.zip
macOS binaries:	r-release (arm64): OptSurvCutR_0.10.0.tgz, r-oldrel (arm64): OptSurvCutR_0.10.0.tgz, r-release (x86_64): OptSurvCutR_0.10.0.tgz, r-oldrel (x86_64): OptSurvCutR_0.10.0.tgz

Linking:

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