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NEWS.md
In deGradInfer: Parameter Inference for Systems of Differential Equation
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.
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deGradInfer documentation built on Jan. 21, 2020, 1:06 a.m.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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.
Try the deGradInfer package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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