llpControl: Control options for log-likelihood profiling

In nlmixr2extra: Nonlinear Mixed Effects Models in Population PK/PD, Extra Support Functions

Control options for log-likelihood profiling

Description

Control options for log-likelihood profiling

Usage

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

Value

A validated list of control options for log-likelihood profiling

See Also

profileLlp()

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

nlmixr2extra documentation built on April 12, 2025, 1:41 a.m.