Learn R Programming

nlmixr2autoinit (version 1.0.0)

fallback_control: 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
)

Value

A list of fallback control parameters.

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.

Examples

Run this code
fallback_control()

Run the code above in your browser using DataLab