Bayesian Dynamic Energy Budget Modelling R package BayesianDEB version 0.1.4 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'. Software Depends: R (>= 4.1.0) Imports: posterior (>= 1.5.0), rlang (>= 1.1.0), cli (>= 3.6.0), ggplot2 (>= 3.4.0), bayesplot (>= 1.10.0), deSolve (>= 1.40), stats, utils Suggests: cmdstanr (>= 0.8.0), testthat (>= 3.0.0), loo (>= 2.6.0), digest, dplyr (>= 1.1.0), tidyr (>= 1.3.0), knitr, rmarkdown, withr Branimir K. Hackenberger <branimir@sciom.hr> Comprehensive R Archive Network (CRAN) Branimir K. Hackenberger [aut, cre], Tamara Djerdj [aut], Domagoj K. Hackenberger [aut] MIT + file LICENSE (https://CRAN.R-project.org/package=BayesianDEB/LICENSE) 2026-04-21 application/tgz https://CRAN.R-project.org/package=BayesianDEB doi:10.32614/CRAN.package.BayesianDEB