KGode (1.0.1)

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Kernel Based Gradient Matching for Parameter Inference in Ordinary Differential Equations.

http://cran.r-project.org/web/packages/KGode

The kernel ridge regression and the gradient matching algorithm proposed in Niu et al. (2016) and the warping algorithm proposed in Niu et al. (2017) 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.

Maintainer: Mu Niu
Author(s): Mu Niu [aut, cre]

License: GPL (>= 2)

Uses: mvtnorm, pracma, pspline, R6

Released almost 2 years ago.


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