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