<?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>xaleed.r-universe.dev</title><link>https://xaleed.r-universe.dev</link><description>Recent package updates in xaleed</description><generator>R-universe</generator><image><url>https://github.com/xaleed.png</url><title>R packages by xaleed</title><link>https://xaleed.r-universe.dev</link></image><lastBuildDate>Thu, 04 Jun 2026 09:25:11 GMT</lastBuildDate><item><title>[xaleed] DirichletRF 0.1.0</title><author>masoumifardk@yahoo.com (Khaled Masoumifard)</author><description>Implementation of the Dirichlet Random Forest algorithm
for compositional response data. Supports maximum likelihood
estimation ('MLE') and method-of-moments ('MOM') parameter
estimation for the Dirichlet distribution. Provides two
prediction strategies; averaging-based predictions (average of
responses within terminal nodes) and parameter-based
predictions (expected value derived from the estimated
Dirichlet parameters within terminal nodes). For more details
see Masoumifard, van der Westhuizen, and Gardner-Lubbe (2026,
ISBN:9781032903910).</description><link>https://github.com/r-universe/xaleed/actions/runs/26947712165</link><pubDate>Thu, 04 Jun 2026 09:25:11 GMT</pubDate><r:package>DirichletRF</r:package><r:version>0.1.0</r:version><r:status>success</r:status><r:repository>https://xaleed.r-universe.dev</r:repository><r:upstream>https://github.com/xaleed/dirichletrf</r:upstream></item></channel></rss>