<?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>maths-stats.r-universe.dev</title><link>https://maths-stats.r-universe.dev</link><description>Recent package updates in maths-stats</description><generator>R-universe</generator><image><url>https://github.com/maths-stats.png</url><title>R packages by maths-stats</title><link>https://maths-stats.r-universe.dev</link></image><lastBuildDate>Fri, 24 Jul 2026 08:11:49 GMT</lastBuildDate><item><title>[agnesdeng] vismi 1.0.0</title><author>agnes.yongshideng@gmail.com (Yongshi Deng)</author><description>A comprehensive suite of static and interactive visual
diagnostics for assessing the quality of multiply-imputed data
obtained from packages such as 'mixgb' and 'mice'. The package
supports inspection of distributional characteristics,
diagnostics based on masking observed values and comparing them
with re-imputed values, and convergence diagnostics.</description><link>https://github.com/r-universe/agnesdeng/actions/runs/35705490487</link><pubDate>Fri, 24 Jul 2026 08:11:49 GMT</pubDate><r:package>vismi</r:package><r:version>1.0.0</r:version><r:status>success</r:status><r:repository>https://agnesdeng.r-universe.dev</r:repository><r:upstream>https://github.com/agnesdeng/vismi</r:upstream></item><item><title>[agnesdeng] mixgb 2.2.3</title><author>agnes.yongshideng@gmail.com (Yongshi Deng)</author><description>Multiple imputation using 'XGBoost', subsampling, and
predictive mean matching as described in Deng and Lumley (2024)
&lt;doi:10.1080/10618600.2023.2252501&gt;.  The package supports
various types of variables, offers flexible settings, and
enables saving an imputation model to impute new data. Data
processing and memory usage have been optimised to speed up the
imputation process.</description><link>https://github.com/r-universe/agnesdeng/actions/runs/37116613001</link><pubDate>Sat, 17 Jan 2026 22:58:56 GMT</pubDate><r:package>mixgb</r:package><r:version>2.2.3</r:version><r:status>success</r:status><r:repository>https://agnesdeng.r-universe.dev</r:repository><r:upstream>https://github.com/agnesdeng/mixgb</r:upstream><r:article><r:source>Imputing-newdata.Rmd</r:source><r:filename>Imputing-newdata.html</r:filename><r:title>Imputing newdata with a saved mixgb imputer</r:title><r:created>2022-05-18 12:42:27</r:created><r:modified>2026-01-17 10:27:07</r:modified></r:article><r:article><r:source>Using-mixgb.Rmd</r:source><r:filename>Using-mixgb.html</r:filename><r:title>mixgb: Multiple Imputation Through XGBoost</r:title><r:created>2022-05-18 12:42:27</r:created><r:modified>2026-01-17 10:27:07</r:modified></r:article></item></channel></rss>