Create an objective function to be used with optimization routines

Source: R/calibrar-DEPRECATED.R

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.

createObjectiveFunction(
  runModel,
  info,
  observed,
  aggFn = .weighted.sum,
  aggregate = FALSE,
  ...
)

Arguments

runModel

Function to run the model and produce a list of outputs.

info

A data.frame with the information about the calibration, normally created with the getCalibrationInfo function. See details.

observed

A list of the observed variables created with the function getObservedData

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 runModel function.

Value

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

Author

Ricardo Oliveros-Ramos