Objective Function Options for Model Fit Assessment

Default settings for objective function options in model fit analysis, pivotal for calculating error and fit. These configurations enable tailored analysis approaches, pivotal in the ParameterIdentification process for optimizing parameter values against observed data. These options are configured via the PIConfiguration class.

Usage

ObjectiveFunctionOptions

Format

An object of class list of length 6.

Details

Settings include:

• objectiveFunctionType – Type of objective function used. Default is lsq (least squares), influencing error calculation.

• residualWeightingMethod – Method for residual weighting. Default is none.

• robustMethod – Method for robust outlier handling. Default is none (standard analysis).

• scaleVar – Whether residual scaling is applied. Default is FALSE.

• linScaleCV – Coefficient of variation for linear scaling. Default is 0.2.

• logScaleSD – Standard deviation for log scaling. Default is NULL.

These options are configurable in PIConfiguration, directly influencing the calculateCostMetrics functionality for detailed model fit assessment.