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KGode  

Kernel Based Gradient Matching for Parameter Inference in Ordinary Differential Equations
View on CRAN: Click here


Download and install KGode package within the R console
Install from CRAN:
install.packages("KGode")

Install from Github:
library("remotes")
install_github("cran/KGode")

Install by package version:
library("remotes")
install_version("KGode", "1.0.4")



Attach the package and use:
library("KGode")
Maintained by
Mu Niu
[Scholar Profile | Author Map]
First Published: 2017-10-23
Latest Update: 2022-08-19
Description:
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.
How to cite:
Mu Niu (2017). KGode: Kernel Based Gradient Matching for Parameter Inference in Ordinary Differential Equations. R package version 1.0.4, https://cran.r-project.org/web/packages/KGode. Accessed 05 May. 2025.
Previous versions and publish date:
1.0.0 (2017-10-23 13:18), 1.0.1 (2018-02-26 01:01), 1.0.2 (2020-06-16 16:10), 1.0.3 (2020-06-23 07:31)
Other packages that cited KGode R package
View KGode citation profile
Other R packages that KGode depends, imports, suggests or enhances
Complete documentation for KGode
Functions, R codes and Examples using the KGode R package
Some associated functions: Kernel . MLP . RBF . Warp . bootstrap . crossv . diagnostic . ode . rkg . rkg3 . rkhs . third . warpInitLen . warpfun . 
Some associated R codes: Full KGode package functions and examples
Downloads during the last 30 days
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