<?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>jayarasan.r-universe.dev</title><link>https://jayarasan.r-universe.dev</link><description>Recent package updates in jayarasan</description><generator>R-universe</generator><image><url>https://github.com/jayarasan.png</url><title>R packages by jayarasan</title><link>https://jayarasan.r-universe.dev</link></image><lastBuildDate>Tue, 29 Jul 2025 03:48:16 GMT</lastBuildDate><item><title>[jayarasan] simIC 0.1.0</title><author>your@email.com (Jayanthi Arasan)</author><description>Provides tools to simulate and analyze interval-censored
survival data, including left-, right-, and uncensored cases,
under common parametric distributions such as Weibull,
Exponential, Log-Normal, Log-Logistic, Gamma, Gompertz, Normal,
Logistic, and EMV. The package supports both direct maximum
likelihood estimation and imputation-based approaches, making
it suitable for methodological research, benchmarking, and
teaching purposes. An interactive web-based companion tool is
also available.</description><link>https://github.com/r-universe/jayarasan/actions/runs/26565470260</link><pubDate>Tue, 29 Jul 2025 03:48:16 GMT</pubDate><r:package>simIC</r:package><r:version>0.1.0</r:version><r:status>success</r:status><r:repository>https://jayarasan.r-universe.dev</r:repository><r:upstream>https://github.com/jayarasan/simic</r:upstream></item></channel></rss>