<?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>xguot.r-universe.dev</title><link>https://xguot.r-universe.dev</link><description>Recent package updates in xguot</description><generator>R-universe</generator><image><url>https://github.com/xguot.png</url><title>R packages by xguot</title><link>https://xguot.r-universe.dev</link></image><lastBuildDate>Fri, 05 Jun 2026 20:37:34 GMT</lastBuildDate><item><title>[xguot] smriti 0.2.0</title><author>tommyguo039@gmail.com (Xiyuan Guo)</author><description>Provides an automated routing engine for longitudinal
missing data. It utilizes a Lagrange-constrained Random Forest
based on sample size, missingness rate, and skew to preserve
structural variance.</description><link>https://github.com/r-universe/xguot/actions/runs/27040877690</link><pubDate>Fri, 05 Jun 2026 20:37:34 GMT</pubDate><r:package>smriti</r:package><r:version>0.2.0</r:version><r:status>success</r:status><r:repository>https://xguot.r-universe.dev</r:repository><r:upstream>https://github.com/xguot/smriti</r:upstream><r:article><r:source>introduction.Rmd</r:source><r:filename>introduction.html</r:filename><r:title>Introduction to smriti: Structural Variance Preservation</r:title><r:created>2026-05-15 03:10:58</r:created><r:modified>2026-05-21 23:57:58</r:modified></r:article><r:article><r:source>outlier-robust.Rmd</r:source><r:filename>outlier-robust.html</r:filename><r:title>Outlier-Robust Longitudinal Imputation with smriti</r:title><r:created>2026-06-01 11:09:59</r:created><r:modified>2026-06-01 11:09:59</r:modified></r:article></item></channel></rss>