R: Create an objective function to be used with optimization...

calibration_objFn {calibrar}

R Documentation

Create an objective function to be used with optimization routines

Description

Create a new function, to be used as the objective function in the calibration, given a function to run the model within R, observed data and information about the comparison with data.

Usage

calibration_objFn(model, setup, observed, aggFn = NULL, aggregate = FALSE, ...)

Arguments

`model`	Function to run the model and produce a list of outputs.
`setup`	A data.frame with the information about the calibration, normally created with the `calibration_setup` function. See details.
`observed`	A list of the observed variables created with the function `calibration_data`
`aggFn`	A function to aggregate `fn` to a scalar value if the returned value is a vector. Some optimization algorithm can explote the additional information provided by a vectorial output from `fn`
`aggregate`	boolean, if TRUE, a scalar value is returned using the `aggFn`.
`...`	More arguments passed to the `model` function.

Value

A function, integrating the simulation of the model and the comparison with observed data.

Author(s)