Create an objective function to be used with optimization routines
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.
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.
Returns
A function, integrating the simulation of the model and the comparison with observed data.