# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "BayesianDEB" in publications use:'
type: software
license: MIT
title: 'BayesianDEB: Bayesian Dynamic Energy Budget Modelling'
version: 0.2.0
doi: 10.5281/zenodo.20134752
identifiers:
- type: doi
  value: 10.32614/CRAN.package.BayesianDEB
abstract: Provides a Bayesian framework for Dynamic Energy Budget (DEB) modelling
  via 'Stan'. Implements the standard DEB model of Kooijman (2010, <https://doi.org/10.1017/CBO9780511805400>)
  as a state-space model with Hamiltonian Monte Carlo inference (Carpenter et al.,
  2017, <https://doi.org/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, <https://doi.org/10.1007/s10646-006-0060-x>).
  Supports prior specification from biological knowledge, convergence diagnostics
  (Vehtari et al., 2021, <https://doi.org/10.1214/20-BA1221>), posterior predictive
  checks, derived quantity estimation, and visualisation via 'ggplot2'.
authors:
- family-names: Hackenberger
  given-names: Branimir K.
  email: branimir@sciom.hr
- family-names: Djerdj
  given-names: Tamara
- family-names: Hackenberger
  given-names: Domagoj K.
preferred-citation:
  type: manual
  title: 'BayesianDEB: Bayesian Dynamic Energy Budget Modelling'
  authors:
  - family-names: Hackenberger
    given-names: Branimir K.
    email: branimir@sciom.hr
  - family-names: Djerdj
    given-names: Tamara
  - family-names: Hackenberger
    given-names: Domagoj K.
  year: '2026'
  notes: R package version 0.2.0
  doi: 10.5281/zenodo.20134752
  url: https://github.com/sciom/BayesianDEB
repository: https://sciom.r-universe.dev
repository-code: https://github.com/sciom/BayesianDEB
commit: 620309b886b090a75b6926570ddd085d87b48860
url: https://github.com/sciom/BayesianDEB
date-released: '2026-05-12'
contact:
- family-names: Hackenberger
  given-names: Branimir K.
  email: branimir@sciom.hr
references:
- type: book
  title: Dynamic Energy Budget Theory for Metabolic Organisation
  authors:
  - family-names: Kooijman
    given-names: S.A.L.M.
  year: '2010'
  edition: 3rd
  publisher:
    name: Cambridge University Press
  doi: 10.1017/CBO9780511805400
  notes: The theoretical foundation for BayesianDEB