setMeasFunc: Set the measurement equation for the model

In seeds: Estimate Hidden Inputs using the Dynamic Elastic Net

Description

For a given model a measurement equation can be set. If no measurement function is set the states become the output of the system. The function should be defined as in the example below.

Usage

setMeasFunc(odeModel, measFunc, custom)

## S4 method for signature 'odeModel,'function',missing'
setMeasFunc(odeModel, measFunc, custom)

## S4 method for signature 'odeModel,'function',logical'
setMeasFunc(odeModel, measFunc, custom)

Arguments

odeModel	an object of the class odeModel
measFunc	measurement function of the model. Has to be a R functions.
custom	custom indexing for the measurement function (used by the baysian method)

Value

an object of odeModel

Examples

data("uvbModel")

uvbMeasure <- function(x) {

  y1 = 2*x[,5] + x[,4] + x[,8]
  y2 = 2*x[,5] + 2* x[,3] + x[,1]
  y3 = x[,6]
  y4 = x[,11]
  y5 = x[,4]

  return(cbind(y1,y2,y3,y4,y5))
  }

newModel <- setMeasFunc(odeModel = uvbModel, measFunc = uvbMeasure)

seeds documentation built on July 14, 2020, 1:07 a.m.