llpControl function

Control options for log-likelihood profiling

llpControl(
  ofvIncrease = qchisq(0.95, df = 1),
  rseTheta = 30,
  itermax = 10,
  ofvtol = 0.005,
  paramDigits = 3,
  extrapolateExpand = 1.5
)

Arguments

• ofvIncrease: The targetted change in objective function value (3.84 corresponds to a Chi-squared test with a 95% confidence interval)
• rseTheta: The relative standard error (percent) for the model parameters. It can be missing (the default) in which case a default value of 30% will be applied. If given as a single number, it will be applied to all parameters. If given as a named vector of numbers, it will be applied to each named parameter.
• itermax: Maximum number of likelihood profiling iterations for each bound estimated
• ofvtol: The relative tolerance for the objective function being close enough to the ofvIncrease.
• paramDigits: The number of significant digits required for the parameter. When interpolation attempts to get smaller than that number of significant digits, it will stop.
• extrapolateExpand: When extrapolating outside the range previously tested, how far should the step occur as a ratio

Returns

A validated list of control options for log-likelihood profiling

See Also

profileLlp()

Other Profiling: fixedControl(), profile.nlmixr2FitCore(), profileFixed(), profileLlp(), profileNlmixr2FitCoreRet()