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Objective Function Specifications

Source: R/enums.R
ObjectiveFunctionSpecs.Rd

Specifies supported objective function configurations for error calculation in parameter optimization. These specifications detail the allowable options for tailoring how model fit is assessed, configured within PIConfiguration.

Usage

ObjectiveFunctionSpecs

Format

An object of class list of length 7.

Details

Includes:

  • objectiveFunctionType – Type of error calculation. Allowed values: lsq (least squares), m3" (M3 method).

  • residualWeightingMethod – Method for weighting residuals. Allowed values: none, std, mean, error.

  • robustMethod – Approach for robust outlier handling. Allowed values: none, huber, bisquare.

  • scaleVar – Boolean for variance scaling. Allowed values: TRUE, FALSE.

  • scaling – Scaling type. Allowed values: lin (linear), log (logarithmic).

  • linScaleCV – Coefficient of variation for linear scaling. Numeric range: 1e-9 to 1.

  • logScaleSD – Standard deviation for log scaling. Numeric range: 1e-9 to Inf.

These options directly influence the optimization process by defining how discrepancies between simulated and observed data are quantified and managed.