KGode
Kernel Based Gradient Matching for Parameter Inference in Ordinary Differential Equations
The kernel ridge regression and the gradient matching algorithm proposed in Niu et al. (2016) https://proceedings.mlr.press/v48/niu16.html and the warping algorithm proposed in Niu et al. (2017) doi:10.1007/s00180-017-0753-z are implemented for parameter inference in differential equations. Four schemes are provided for improving parameter estimation in odes by using the odes regularisation and warping.
- Version1.0.4
- R version≥ 3.2.0
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Last release08/19/2022
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Mu Niu
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- Imports4 packages
- Reverse Imports1 package