CRAN Package Updates Bot (@cranberriesfeed.bsky.social)

CRAN: Package GALAHAD Implements the GALAHAD algorithm (Geometry-Adaptive 'Lyapunov'-Assured Hybrid Optimizer), combining 'Riemannian' metrics, 'Lyapunov' stability checks, and trust-region methods for stable optimization of mixed-geometry parameters. Designed for biological modeling (germination, dose-response, survival) where rates, concentrations, and unconstrained variables coexist. Developed at the Minnesota Center for Prion Research and Outreach (MNPRO), University of Minnesota. Based on Conn et al. (2000) <<a href="https://doi.org/10.1137%2F1.9780898719857" target="_top">doi:10.1137/1.9780898719857</a>>, Amari (1998) <<a href="https://doi.org/10.1162%2F089976698300017746" target="_top">doi:10.1162/089976698300017746</a>>, Beck & Teboulle (2003) <<a href="https://doi.org/10.1016%2FS0167-6377%2802%2900231-6" target="_top">doi:10.1016/S0167-6377(02)00231-6</a>>, Nesterov (2017) <<a href="https://www.jstor.org/stable/resrep30722" target="_top">https://www.jstor.org/stable/resrep30722</a>>, and Walne et al. (2020) <<a href="https://doi.org/10.1002%2Fagg2.20098" target="_top">doi:10.1002/agg2.20098</a>>. https://cran.r-project.org/package=GALAHAD