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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'.

Versions across snapshots

VersionRepositoryFileSize
0.1.4 rolling linux/jammy R-4.5 BayesianDEB_0.1.4.tar.gz 327.9 KiB
0.1.4 rolling linux/noble R-4.5 BayesianDEB_0.1.4.tar.gz 328.2 KiB
0.1.4 rolling source/ R- BayesianDEB_0.1.4.tar.gz 158.0 KiB
0.1.4 latest linux/jammy R-4.5 BayesianDEB_0.1.4.tar.gz 327.9 KiB
0.1.4 latest linux/noble R-4.5 BayesianDEB_0.1.4.tar.gz 328.2 KiB
0.1.4 latest source/ R- BayesianDEB_0.1.4.tar.gz 158.0 KiB
0.1.4 2026-04-26 source/ R- BayesianDEB_0.1.4.tar.gz 158.0 KiB
0.1.4 2026-04-23 source/ R- BayesianDEB_0.1.4.tar.gz 158.0 KiB

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