<?xml version="1.0" encoding="utf-8" ?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:r="https://r-universe.dev"><channel><title>paytonyau.r-universe.dev</title><link>https://paytonyau.r-universe.dev</link><description>Recent package updates in paytonyau</description><generator>R-universe</generator><image><url>https://github.com/paytonyau.png</url><title>R packages by paytonyau</title><link>https://paytonyau.r-universe.dev</link></image><lastBuildDate>Wed, 17 Jun 2026 07:35:48 GMT</lastBuildDate><item><title>[paytonyau] OptSurvCutR 0.10.0</title><author>tungon@gmail.com (Payton Yau)</author><description>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.</description><link>https://github.com/r-universe/paytonyau/actions/runs/28505714013</link><pubDate>Wed, 17 Jun 2026 07:35:48 GMT</pubDate><r:package>OptSurvCutR</r:package><r:version>0.10.0</r:version><r:status>success</r:status><r:repository>https://paytonyau.r-universe.dev</r:repository><r:upstream>https://github.com/paytonyau/optsurvcutr</r:upstream><r:article><r:source>bilirubin.Rmd</r:source><r:filename>bilirubin.html</r:filename><r:title>Analysing Clinical Survival Data with OptSurvCutR</r:title><r:created>2026-06-03 22:25:09</r:created><r:modified>2026-06-12 21:25:06</r:modified></r:article></item></channel></rss>