<?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>alexandreabbes.r-universe.dev</title><link>https://alexandreabbes.r-universe.dev</link><description>Recent package updates in alexandreabbes</description><generator>R-universe</generator><image><url>https://github.com/alexandreabbes.png</url><title>R packages by alexandreabbes</title><link>https://alexandreabbes.r-universe.dev</link></image><lastBuildDate>Thu, 18 Jun 2026 08:23:40 GMT</lastBuildDate><item><title>[alexandreabbes] BsplineQuantReg 0.1.0</title><author>alexandre.abbes@proton.me (Alexandre Abbes)</author><description>Quantile regression with cubic B-splines under
monotonicity and convexity constraints using the Karlin-Studden
SOCP formulation. The method is described in Abbes (2026)
&lt;doi:10.5281/zenodo.17427913&gt;. This R implementation is
intended for demonstration and prototyping; all B-spline and
polynomial functions have been rewritten for consistency. A
faster version written in 'Python' is available at
&lt;https://github.com/alexandreabbes/Constrained-Quantile-Regression-with-cubic-splines&gt;.</description><link>https://github.com/r-universe/alexandreabbes/actions/runs/28088754305</link><pubDate>Thu, 18 Jun 2026 08:23:40 GMT</pubDate><r:package>BsplineQuantReg</r:package><r:version>0.1.0</r:version><r:status>success</r:status><r:repository>https://alexandreabbes.r-universe.dev</r:repository><r:upstream>https://github.com/alexandreabbes/bsplinequantreg</r:upstream></item></channel></rss>