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.
|Author||Mu Niu [aut, cre]|
|Maintainer||Mu Niu <email@example.com>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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