Skip to contents

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: Types of error calculations ("lsq" for least squares, "m3" for method 3).

  • residualWeightingMethod: Methods for weighting residuals ("none", "std", "mean", "error").

  • robustMethod: Approaches for robust outlier handling ("none", "huber", "bisquare").

  • scaleVar: Boolean for variance scaling (TRUE, FALSE).

  • linScaleCV: Coefficient of variation for linear scale, with numeric range 1e-9 to 1.

  • logScaleSD: Standard deviation for log scale, with 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.