<?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>urbs-dev.r-universe.dev</title><link>https://urbs-dev.r-universe.dev</link><description>Recent package updates in urbs-dev</description><generator>R-universe</generator><image><url>https://github.com/urbs-dev.png</url><title>R packages by urbs-dev</title><link>https://urbs-dev.r-universe.dev</link></image><lastBuildDate>Mon, 02 Feb 2026 08:34:05 GMT</lastBuildDate><item><title>[urbs-dev] marinepredator 0.0.1</title><author>marc@grossouvre.fr (Marc Grossouvre)</author><description>Implementation of the Marine Predators Algorithm (MPA) in
R. MPA is a nature-inspired optimization algorithm that follows
the rules governing optimal foraging strategy and encounter
rate policy between predator and prey in marine ecosystems.
Based on the paper by Faramarzi et al. (2020)
&lt;doi:10.1016/j.eswa.2020.113377&gt;.</description><link>https://github.com/r-universe/urbs-dev/actions/runs/27006367944</link><pubDate>Mon, 02 Feb 2026 08:34:05 GMT</pubDate><r:package>marinepredator</r:package><r:version>0.0.1</r:version><r:status>success</r:status><r:repository>https://urbs-dev.r-universe.dev</r:repository><r:upstream>https://github.com/urbs-dev/marinepredator</r:upstream><r:article><r:source>mpa-introduction.Rmd</r:source><r:filename>mpa-introduction.html</r:filename><r:title>Introduction to the Marine Predators Algorithm</r:title><r:created>2026-01-30 10:52:11</r:created><r:modified>2026-02-02 08:29:10</r:modified></r:article></item><item><title>[urbs-dev] codestral 0.0.2.9000</title><author>marcgrossouvre@urbs.fr (Marc Grossouvre)</author><description>Create an addin in 'Rstudio' to do fill-in-the-middle
(FIM) and chat with latest Mistral AI models for coding,
'Codestral' and 'Codestral Mamba'. For more details about
'Mistral AI API':
&lt;https://docs.mistral.ai/getting-started/quickstart/&gt; and
&lt;https://docs.mistral.ai/api/&gt;. For more details about
'Codestral' model: &lt;https://mistral.ai/news/codestral&gt;; about
'Codestral Mamba': &lt;https://mistral.ai/news/codestral-mamba&gt;.</description><link>https://github.com/r-universe/urbs-dev/actions/runs/27943697711</link><pubDate>Fri, 23 Jan 2026 13:53:45 GMT</pubDate><r:package>codestral</r:package><r:version>0.0.2.9000</r:version><r:status>success</r:status><r:repository>https://urbs-dev.r-universe.dev</r:repository><r:upstream>https://github.com/urbs-dev/codestral</r:upstream><r:article><r:source>codestral-introduction.Rmd</r:source><r:filename>codestral-introduction.html</r:filename><r:title>codestral-introduction</r:title><r:created>2026-01-13 13:35:48</r:created><r:modified>2026-01-13 13:35:48</r:modified></r:article><r:article><r:source>codestral-environment-variables.Rmd</r:source><r:filename>codestral-environment-variables.html</r:filename><r:title>List and function of environment variables created by codestral</r:title><r:created>2026-01-23 13:52:34</r:created><r:modified>2026-01-23 13:52:34</r:modified></r:article></item></channel></rss>