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) 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.

KGode

Parameter inference in dynamical models using Gradient Matching (https://github.com/mu2013/KGode.git)

Reference manual

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install.packages("KGode")

1.0.5 by Mu Niu, a year ago

Browse source code at https://github.com/cran/KGode

Authors: Mu Niu [aut, cre]

Documentation:   PDF Manual  

GPL (>= 2) license

Imports R6, pracma, pspline, mvtnorm, graphics

Imported by shinyKGode.

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