fallback_control: Control settings for fallback rules in parameter estimation

In nlmixr2autoinit: Automatic Generation of Initial Estimates for Population Pharmacokinetic Modeling

Control settings for fallback rules in parameter estimation

Description

Control settings for fallback rules in parameter estimation

Usage

fallback_control(
  enable_ka_fallback = FALSE,
  sigma_method_additive = "model",
  sigma_method_proportional = "model",
  sigma_fallback_fraction = 0.2
)

Arguments

enable_ka_fallback	Logical value indicating whether to apply a fallback to ka = 1 if the estimated value is invalid.
sigma_method_additive	Method for additive sigma. Options are "model" or "fixed_fraction".
sigma_method_proportional	Method for proportional sigma. Options are "model" or "fixed_fraction".
sigma_fallback_fraction	Numeric value specifying the fallback fraction, for example, 0.2 corresponds to 20 percent of the mean of observed concentrations.

Value

A list of fallback control parameters.

Examples

fallback_control()

nlmixr2autoinit documentation built on Nov. 14, 2025, 1:07 a.m.