<?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>torodriguezt.r-universe.dev</title><link>https://torodriguezt.r-universe.dev</link><description>Recent package updates in torodriguezt</description><generator>R-universe</generator><image><url>https://github.com/torodriguezt.png</url><title>R packages by torodriguezt</title><link>https://torodriguezt.r-universe.dev</link></image><lastBuildDate>Fri, 03 Jul 2026 18:56:25 GMT</lastBuildDate><item><title>[torodriguezt] bayesQRsurvey 0.2.2</title><author>torodriguezt@unal.edu.co (Tomás Rodríguez Taborda)</author><description>Provides Bayesian quantile regression models for complex
survey data under informative sampling using survey-weighted
estimators. Both single- and multiple-output models are
supported. To accelerate computation, all algorithms are
implemented in 'C++' using 'Rcpp', 'RcppArmadillo', and
'RcppEigen', and are called from 'R'. See Nascimento and
Gonçalves (2024) &lt;doi:10.1093/jssam/smae015&gt; and Nascimento and
Gonçalves (2025, in press) &lt;https://academic.oup.com/jssam&gt;.</description><link>https://github.com/r-universe/torodriguezt/actions/runs/28679340466</link><pubDate>Fri, 03 Jul 2026 18:56:25 GMT</pubDate><r:package>bayesQRsurvey</r:package><r:version>0.2.2</r:version><r:status>success</r:status><r:repository>https://torodriguezt.r-universe.dev</r:repository><r:upstream>https://github.com/torodriguezt/bayesqrsurvey</r:upstream></item></channel></rss>