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) <> 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.

Getting started

Package details

AuthorMu Niu [aut, cre]
MaintainerMu Niu <>
LicenseGPL (>= 2)
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the KGode package in your browser

Any scripts or data that you put into this service are public.

KGode documentation built on Aug. 19, 2022, 5:08 p.m.