CRAN/E | KGode

KGode

Kernel Based Gradient Matching for Parameter Inference in Ordinary Differential Equations

Installation

About

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.

Key Metrics

Version 1.0.4
R ≥ 3.2.0
Published 2022-08-19 623 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks KGode results

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Maintainer

Maintainer

Mu Niu

mu.niu@glasgow.ac.uk

Authors

Mu Niu

aut / cre

Material

README
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

KGode archive

Depends

R ≥ 3.2.0

Imports

R6
pracma
pspline
mvtnorm
graphics

Reverse Imports

shinyKGode