<?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>seonsy.r-universe.dev</title><link>https://seonsy.r-universe.dev</link><description>Recent package updates in seonsy</description><generator>R-universe</generator><image><url>https://github.com/seonsy.png</url><title>R packages by seonsy</title><link>https://seonsy.r-universe.dev</link></image><lastBuildDate>Thu, 23 Apr 2026 05:24:16 GMT</lastBuildDate><item><title>[seonsy] aftPenCDA 0.1.1</title><author>seonsy429@gmail.com (Suyeon Seon)</author><description>Provides penalized accelerated failure time (AFT) model
estimation for right-censored and partly interval-censored
survival data using induced smoothing and coordinate descent
algorithms. Supported penalties include broken adaptive ridge
(BAR), LASSO, adaptive LASSO, and SCAD. Core estimation
routines are implemented in 'C++' via 'Rcpp' and
'RcppArmadillo' for computational efficiency. The methodology
is related to Zeng and Lin (2008)
&lt;doi:10.1093/biostatistics/kxm034&gt;, Xu et al. (2010)
&lt;doi:10.1002/sim.2576&gt;, Dai et al. (2018)
&lt;doi:10.1016/j.jmva.2018.08.007&gt;, and Choi et al. (2025)
&lt;doi:10.48550/arXiv.2503.11268&gt;.</description><link>https://github.com/r-universe/seonsy/actions/runs/26354504103</link><pubDate>Thu, 23 Apr 2026 05:24:16 GMT</pubDate><r:package>aftPenCDA</r:package><r:version>0.1.1</r:version><r:status>success</r:status><r:repository>https://seonsy.r-universe.dev</r:repository><r:upstream>https://github.com/seonsy/aftpencda</r:upstream><r:article><r:source>aftPenCDA.Rmd</r:source><r:filename>aftPenCDA.html</r:filename><r:title>Getting started with aftPenCDA package</r:title><r:created>2026-03-27 06:11:43</r:created><r:modified>2026-04-23 02:55:56</r:modified></r:article></item></channel></rss>