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rkg3

The 'rkg3' class object


Description

This class provides advanced gradient matching method by using the ode as a regularizer.

Format

R6Class object.

Value

an R6Class object which can be used for improving ode parameters estimation by using ode as a regularizer.

Methods

iterate(iter,innerloop,lamb)

Iteratively updating ode parameters and interpolation regression coefficients.

witerate(iter,innerloop,dtilda,lamb)

Iteratively updating ode parameters and the warped interpolation regression coefficients.

full(par,lam)

Updating ode parameters and rkhs interpolation regression coefficients simultaneously. This method is slow but guarantee convergence.

Public fields

rk

the 'rkhs' class object containing the interpolation information for each state of the ode.

ode_m

the 'ode' class object containing the information about the odes.

Active bindings

ode_m

the 'ode' class object containing the information about the odes.

Methods

Public methods


Method new()

Usage
rkg3$new(rk = NULL, odem = NULL)

Method greet()

Usage
rkg3$greet()

Method add()

Usage
rkg3$add(x)

Method iterate()

Usage
rkg3$iterate(iter, innerloop, lamb)

Method witerate()

Usage
rkg3$witerate(iter, innerloop, dtilda, lamb)

Method full()

Usage
rkg3$full(par, lam)

Method wfull()

Usage
rkg3$wfull(par, lam, dtilda)

Method opfull()

Usage
rkg3$opfull(lam)

Method wopfull()

Usage
rkg3$wopfull(lam, dtilda)

Method cross()

Usage
rkg3$cross(lam, testX, testY)

Method fullos()

Usage
rkg3$fullos(par)

Method clone()

The objects of this class are cloneable with this method.

Usage
rkg3$clone(deep = FALSE)
Arguments
deep

Whether to make a deep clone.

Author(s)


KGode

Kernel Based Gradient Matching for Parameter Inference in Ordinary Differential Equations

v1.0.3
GPL (>= 2)
Authors
Mu Niu [aut, cre]
Initial release

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