https://mgrossouvre.r-universe.devRecent package updates in mgrossouvreR-universehttps://github.com/mgrossouvre.pnghttps://mgrossouvre.r-universe.devTue, 13 Oct 2026 14:19:32 GMTmarcgrossouvre@urbs.fr (Marc Grossouvre)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': <https://docs.mistral.ai/getting-started/quickstart/> and <https://docs.mistral.ai/api/>. For more details about 'Codestral' model: <https://mistral.ai/news/codestral>; about 'Codestral Mamba': <https://mistral.ai/news/codestral-mamba>.https://github.com/r-universe/urbs-dev/actions/runs/38477544703Tue, 13 Oct 2026 14:19:32 GMTcodestral0.0.2.9001successhttps://urbs-dev.r-universe.devhttps://github.com/urbs-dev/codestralcodestral-introduction.Rmdcodestral-introduction.htmlcodestral-introduction2026-01-13 13:35:482026-01-13 13:35:48codestral-environment-variables.Rmdcodestral-environment-variables.htmlList and function of environment variables created by codestral2026-01-23 13:52:342026-01-23 13:52:34marcgrossouvre@urbs.fr (Marc Grossouvre)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) <doi:10.1016/j.eswa.2020.113377>.https://github.com/r-universe/urbs-dev/actions/runs/38477551633Tue, 13 Oct 2026 14:12:52 GMTmarinepredator0.0.1successhttps://urbs-dev.r-universe.devhttps://github.com/urbs-dev/marinepredatormpa-introduction.Rmdmpa-introduction.htmlIntroduction to the Marine Predators Algorithm2026-01-30 10:52:112026-02-02 08:29:10