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

In roliveros-ramos/calibrar: Automated Parameter Estimation for Complex Models

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)

Ricardo Oliveros-Ramos

See Also

calibration_data, calibration_setup.

roliveros-ramos/calibrar documentation built on March 15, 2024, 12:08 a.m.