Package: odelia 0.11.1

Daniel Falster

odelia: ODE Solver with Automatic Differentiation, in C++ Header Files

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:Daniel Falster [aut, cre], Richard FitzJohn [aut], Andrew O'Reilly-Nugent [aut]

odelia_0.11.1.tar.gz
odelia_0.11.1.zip(r-4.7-x86_64)odelia_0.11.1.zip(r-4.7-arm64)odelia_0.11.1.zip(r-4.6-x86_64)odelia_0.11.1.zip(r-4.6-arm64)odelia_0.11.1.zip(r-4.5-x86_64)
odelia_0.11.1.tgz(r-4.6-x86_64)odelia_0.11.1.tgz(r-4.6-arm64)odelia_0.11.1.tgz(r-4.5-x86_64)odelia_0.11.1.tgz(r-4.5-arm64)
odelia_0.11.1.tar.gz(r-4.7-arm64)odelia_0.11.1.tar.gz(r-4.7-x86_64)odelia_0.11.1.tar.gz(r-4.6-arm64)odelia_0.11.1.tar.gz(r-4.6-x86_64)
odelia_0.11.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
odelia/json (API)

# Install 'odelia' in R:

install.packages('odelia', repos = c('https://traitecoevo.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/traitecoevo/odelia/issues

Pkgdown/docs site:https://traitecoevo.github.io

Uses libs:

c++– GNU Standard C++ Library v3

On CRAN:

cpp

5.45 score 2 stars 1 packages 12 scripts 32 exports 16 dependencies

Last updated from:ed4fc29dbe. Checks:13 ERROR, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	ERROR	250
linux-devel-x86_64	ERROR	259
source / vignettes	OK	256
linux-release-arm64	ERROR	234
linux-release-x86_64	ERROR	225
macos-release-arm64	ERROR	235
macos-release-x86_64	ERROR	359
macos-oldrel-arm64	ERROR	241
macos-oldrel-x86_64	ERROR	541
windows-devel-arm64	ERROR	411
windows-devel-x86_64	ERROR	483
windows-release-arm64	ERROR	419
windows-release-x86_64	ERROR	440
windows-oldrel-x86_64	ERROR	391
wasm-release	OK	140

Exports:domain_error Drivers Drivers_clear Drivers_evaluate Drivers_evaluate_range Drivers_get_names Drivers_new Drivers_set_constant Drivers_set_extrapolate Drivers_set_variable Lorenz_Solver LorenzSystem ode_counts ode_solve ode_steady_state OdeControl OdeControl_get_controller OdeControl_get_controls OdeControl_get_stabilisation OdeControl_new OdeControl_set_a_dydt OdeControl_set_a_y OdeControl_set_controller OdeControl_set_controls OdeControl_set_stabilisation OdeControl_set_step_size_initial OdeControl_set_step_size_max OdeControl_set_step_size_min OdeControl_set_tol_abs OdeControl_set_tol_rel odelia_load_dll OdeSolver

Dependencies:cli dplyr generics glue lifecycle magrittr pillar pkgconfig R6 Rcpp rlang tibble tidyselect utf8 vctrs withr

Parameter fitting with automatic differentiation

Generate a reference trajectory | Register the calibration target | Optimise | Check the recovered parameters

Rendered fromparameter-fitting.Rmdusingknitr::rmarkdown

Last update: 2026-10-29
Started: 2026-06-22

Getting started with odelia

Rendered fromodelia.Rmdusingknitr::rmarkdown

Last update: 2026-10-29
Started: 2026-06-22

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
ODE Solver with Automatic Differentiation, in C++ Header Files	odelia-package odelia
Signal that a state is outside the model's domain	domain_error
Drivers R6 Class	Drivers
Lorenz Solver R6 Class	Lorenz_Solver
Lorenz System R6 Class	LorenzSystem
What a solve cost	ode_counts ode_counts.odelia_solution ode_counts.odelia_steady_state
Solve an ODE given as an R function, deSolve style	ode_solve
Equilibrium of an ODE given as an R function, and how it moves with the parameters	ode_steady_state
OdeControl R6 Class	OdeControl
Load odelia shared library with configurable symbol visibility	odelia_load_dll
An ODE solver over an R right-hand side	OdeSolver