fitode
Tools for Ordinary Differential Equations Model Fitting
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.
- Version0.1.1
- R version≥ 4.0
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Last release10/29/2022
Documentation
Team
Sang Woo Park
Ben Bolker
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Dependencies
- Depends2 packages
- Imports7 packages
- Suggests3 packages