deGradInfer 1.0.1
Minor changes
- Adapted to changes of
class() function, which can now return a vector of length 2.
deGradInfer 1.0
Initial release of the package. Features include:
- Efficient ODE parameter estimation using gradient matching and population MCMC.
- Parallel tempering of parameter determining mismatch between gradients and ODE model.
- Ability to deal with missing variables.
- Ability to specify user-defined ODE systems.
- Visualisation of MCMC evolution.