<?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>judywangstat.r-universe.dev</title><link>https://judywangstat.r-universe.dev</link><description>Recent package updates in judywangstat</description><generator>R-universe</generator><image><url>https://github.com/judywangstat.png</url><title>R packages by judywangstat</title><link>https://judywangstat.r-universe.dev</link></image><lastBuildDate>Sat, 02 May 2026 14:47:50 GMT</lastBuildDate><item><title>[judywangstat] HCPclust 0.1.2</title><author>menghany@umich.edu (Menghan Yi)</author><description>Implements hierarchical conformal prediction for clustered
data with missing responses. The method uses repeated
cluster-level splitting and within-cluster subsampling to
accommodate dependence, and inverse-probability weighting to
correct distribution shift induced by missingness. Conditional
densities are estimated by inverting fitted conditional
quantiles (linear quantile regression or quantile regression
forests), and p-values are aggregated across resampling and
splitting steps using the Cauchy combination test.</description><link>https://github.com/r-universe/judywangstat/actions/runs/26804818339</link><pubDate>Sat, 02 May 2026 14:47:50 GMT</pubDate><r:package>HCPclust</r:package><r:version>0.1.2</r:version><r:status>success</r:status><r:repository>https://judywangstat.r-universe.dev</r:repository><r:upstream>https://github.com/judywangstat/hcp</r:upstream></item></channel></rss>