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

In calibrar: Automated Parameter Estimation for Complex (Ecological) Models

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

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(s)

Ricardo Oliveros-Ramos

See Also

getObservedData, getCalibrationInfo.

calibrar documentation built on May 2, 2019, 10:58 a.m.