BayesianDEB - Bayesian Dynamic Energy Budget Modelling
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'.
