KGode: Kernel Based Gradient Matching for Parameter Inference in Ordinary Differential Equations
Version 1.0.0

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.

Getting started

Package details

AuthorMu Niu [aut, cre]
Date of publication2017-10-23 11:18:27 UTC
MaintainerMu Niu <[email protected]>
LicenseGPL (>= 2)
Version1.0.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("KGode")

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KGode documentation built on Nov. 17, 2017, 4:25 a.m.