Control options for log-likelihood profiling

Source: R/profile.R

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

Value

A validated list of control options for log-likelihood profiling