<?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>franceslinyc.r-universe.dev</title><link>https://franceslinyc.r-universe.dev</link><description>Recent package updates in franceslinyc</description><generator>R-universe</generator><image><url>https://github.com/franceslinyc.png</url><title>R packages by franceslinyc</title><link>https://franceslinyc.r-universe.dev</link></image><lastBuildDate>Tue, 26 Aug 2025 23:26:39 GMT</lastBuildDate><item><title>[tidymodels] filtro 0.2.0.9000</title><author>franceslinyc@gmail.com (Frances Lin)</author><description>Tidy tools to apply filter-based supervised feature
selection methods. These methods score and rank feature
relevance using metrics such as p-values, correlation, and
importance scores (Kuhn and Johnson (2019)
&lt;doi:10.1201/9781315108230&gt;).</description><link>https://github.com/r-universe/tidymodels/actions/runs/35721573857</link><pubDate>Tue, 26 Aug 2025 23:26:39 GMT</pubDate><r:package>filtro</r:package><r:version>0.2.0.9000</r:version><r:status>success</r:status><r:repository>https://tidymodels.r-universe.dev</r:repository><r:upstream>https://github.com/tidymodels/filtro</r:upstream><r:article><r:source>filtro.qmd</r:source><r:filename>filtro.html</r:filename><r:title>Introduction to filtro</r:title><r:created>2025-08-06 00:06:11</r:created><r:modified>2025-08-14 23:04:30</r:modified></r:article><r:article><r:source>forestimp.qmd</r:source><r:filename>forestimp.html</r:filename><r:title>Scoring via random forests</r:title><r:created>2025-08-08 19:43:48</r:created><r:modified>2025-08-14 23:05:59</r:modified></r:article></item></channel></rss>