Create an objective function to be used with optimization routines

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.

See also

calibration_data, calibration_setup.

Author

Ricardo Oliveros-Ramos