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BayesianDEB  

Bayesian Dynamic Energy Budget Modelling
View on CRAN: Click here


Download and install BayesianDEB package within the R console
Install from CRAN:
install.packages("BayesianDEB")

Install from Github:
library("remotes")
install_github("cran/BayesianDEB")

Install by package version:
library("remotes")
install_version("BayesianDEB", "0.1.4")



Attach the package and use:
library("BayesianDEB")
Maintained by
Branimir K. Hackenberger
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-04-21
Latest Update: 2026-04-21
Description:
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'.
How to cite:
Branimir K. Hackenberger (2026). BayesianDEB: Bayesian Dynamic Energy Budget Modelling. R package version 0.1.4, https://cran.r-project.org/web/packages/BayesianDEB. Accessed 07 Jun. 2026.
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