# ------------------------------------------------
# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# ------------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "odelia" in publications use:'
type: software
license: AGPL-3.0-or-later
title: 'odelia: ODE Solver with Automatic Differentiation, in C++ Header Files'
version: 0.11.1
abstract: odelia provides an ODE solver in C++ header files, offering both an explicit
  adaptive-step Runge-Kutta 4-5 method and an implicit, adaptive-step RODAS4(3) Rosenbrock
  method for stiff systems, with an interface to R via Rcpp. ODE systems can be templated
  on their scalar type to support automatic differentiation, enabling exact reverse-mode
  gradients of a recorded run and exact Jacobians for the implicit solver. A system
  written as an R function can be solved by the same steppers.
authors:
- family-names: Falster
  given-names: Daniel
  email: daniel.falster@unsw.edu.au
  orcid: https://orcid.org/0000-0002-9814-092X
- family-names: FitzJohn
  given-names: Richard
- family-names: O'Reilly-Nugent
  given-names: Andrew
repository: https://traitecoevo.r-universe.dev
repository-code: https://github.com/traitecoevo/odelia
commit: ed4fc29dbe05c73957767a563efda5730239d248
url: https://traitecoevo.github.io/odelia/
date-released: '2026-11-12'
contact:
- family-names: Falster
  given-names: Daniel
  email: daniel.falster@unsw.edu.au
  orcid: https://orcid.org/0000-0002-9814-092X