outterobj_lkh: Outter objective function (likelihood and multiple dimension...

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

Outter objective function (likelihood and multiple dimension version)

Description

An objective function of the structural parameter computes the measure of fit.

Usage

outterobj_lkh(ode.parameter, basis.initial, derivative.model, likelihood.fun, inner.input)

Arguments

ode.parameter	Structural parameters of the ODE model.
basis.initial	Initial values of the basis coefficients for nonlinear least square optimization.
derivative.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.
inner.input	Input that will be passed to the inner objective function. Contains dependencies for the optimization, including observations, penalty parameter lambda, and etc..

Value

neglik The negative of the likelihood or the loglikelihood function that will be passed further to the 'optim' function.

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