innerobj_lkh_1d: Inner objective function (Likelihood and Single dimension...

In pCODE: Estimation of an Ordinary Differential Equation Model by Parameter Cascade Method

Inner objective function (Likelihood and Single dimension version)

Description

An objective function combines the likelihood or loglikelihood of errors from each dimension of state variables and the penalty controls how the state estimates fail to satisfy the ODE model.

Usage

innerobj_lkh_1d(basis_coef, ode.par, input, derive.model, likelihood.fun)

Arguments

basis_coef	Basis coefficients for interpolating observations given a basis boject.
ode.par	Structural parameters of the ODD model.
input	Contains dependencies for the optimization, including observations, ode penalty, and etc..
derive.model	The function defines the ODE model and is the same as the ode.model in 'pcode'.
likelihood.fun	The likelihood or loglikelihood function of the errors.

Value

obj.eval The evaluation of the inner objective function.

pCODE documentation built on Sept. 8, 2022, 9:06 a.m.