Tools for Ordinary Differential Equations Model Fitting
Overview
Methods and functions for fitting ordinary differential equations (ODE) model in 'R'. Sensitivity equations are used to compute the gradients of ODE trajectories with respect to underlying parameters, which in turn allows for more stable fitting. Other fitting methods, such as MCMC (Markov chain Monte Carlo), are also available.
Install
Health
CRAN check results are not tracked yet.
Documentation
- Help pages
- 64 (32 internal)
- Examples that run
- 100%1 run in a plain check
- Exported functions with examples
- 0%
- Documented parameters
- 94%
- Return-value docs
- 91%
- Help pages citing references
- 0%
Downloads
Dependencies
Code & Tests
Datasets
People & History
- RR 4.6.0 released · 2026-04-24
- archivedRemoved from CRAN2025-11-07issues were not corrected despite reminders
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 0.1.12022-10-29
- RR 4.2.0 released · 2022-04-22
Package metadata
- First published
- 2022-10-29
- Total releases
- 1 / 4 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 4.0
- Bundled data
- 5.1 KB / 3 files
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