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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.
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Package details |
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| Author | Mu Niu [aut, cre] |
| Maintainer | Mu Niu <mu.niu@glasgow.ac.uk> |
| License | GPL (>= 2) |
| Version | 1.0.4 |
| Package repository | View on CRAN |
| Installation |
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