https://sciom.r-universe.devRecent package updates in sciomR-universehttps://github.com/sciom.pnghttps://sciom.r-universe.devMon, 29 Jun 2026 18:51:08 GMTbranimir@sciom.hr (Branimir K. Hackenberger)Provides a Bayesian framework for Dynamic Energy Budget (DEB) modelling via 'Stan'. Implements the standard DEB model of Kooijman (2010, <doi:10.1017/CBO9780511805400>) as a state-space model with Hamiltonian Monte Carlo inference (Carpenter et al., 2017, <doi:10.18637/jss.v076.i01>). Includes individual-level growth models, growth-reproduction models, hierarchical multi-individual models with partial pooling, and toxicokinetic-toxicodynamic (TKTD) models for ecotoxicology following the DEBtox framework (Jager et al., 2006, <doi:10.1007/s10646-006-0060-x>). Supports prior specification from biological knowledge, convergence diagnostics (Vehtari et al., 2021, <doi:10.1214/20-BA1221>), posterior predictive checks, derived quantity estimation, and visualisation via 'ggplot2'.https://github.com/r-universe/sciom/actions/runs/28399839767Mon, 29 Jun 2026 18:51:08 GMTBayesianDEB0.2.1successhttps://sciom.r-universe.devhttps://github.com/sciom/BayesianDEBcase_study_eisenia_folsomia.Rmdcase_study_eisenia_folsomia.htmlBayesian DEB Modelling of Eisenia fetida Growth and DEBtox Analysis2026-04-06 13:15:092026-05-12 08:31:32getting_started.Rmdgetting_started.htmlGetting Started with BayesianDEB2026-04-06 13:15:092026-05-12 08:31:32