<?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>ugent-cvamo.r-universe.dev</title><link>https://ugent-cvamo.r-universe.dev</link><description>Recent package updates in ugent-cvamo</description><generator>R-universe</generator><image><url>https://github.com/ugent-cvamo.png</url><title>R packages by ugent-cvamo</title><link>https://ugent-cvamo.r-universe.dev</link></image><lastBuildDate>Fri, 13 Mar 2026 13:54:34 GMT</lastBuildDate><item><title>[ugent-cvamo] bayesQR 2.4</title><author>dries.benoit@ugent.be (Dries F. Benoit)</author><description>Bayesian quantile regression using the asymmetric Laplace
distribution, both continuous as well as binary dependent
variables are supported. The package consists of
implementations of the methods of Yu &amp; Moyeed (2001)
&lt;doi:10.1016/S0167-7152(01)00124-9&gt;, Benoit &amp; Van den Poel
(2012) &lt;doi:10.1002/jae.1216&gt; and Al-Hamzawi, Yu &amp; Benoit
(2012) &lt;doi:10.1177/1471082X1101200304&gt;. To speed up the
calculations, the Markov Chain Monte Carlo core of all
algorithms is programmed in Fortran and called from R.</description><link>https://github.com/r-universe/ugent-cvamo/actions/runs/27406270247</link><pubDate>Fri, 13 Mar 2026 13:54:34 GMT</pubDate><r:package>bayesQR</r:package><r:version>2.4</r:version><r:status>success</r:status><r:repository>https://ugent-cvamo.r-universe.dev</r:repository><r:upstream>https://github.com/ugent-cvamo/bayesqr</r:upstream></item></channel></rss>