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Confidence Interval Estimation Options

Source: R/enums.R
CIOptions.Rd

Default options for various confidence interval estimation methods used within the package. These methods are configured via the PIConfiguration class.

Usage

CIOptions_Hessian

CIOptions_PL

CIOptions_Bootstrap

Format

A list containing default settings for confidence interval estimation methods.

An object of class list of length 3.

An object of class list of length 3.

CIOptions_Hessian

Default options for the hessian method.

  • epsilon: Numerical step size for numerical differentiation. Default is NULL, which applies an adaptive step size.

  • confLevel: Confidence level for interval estimation. Default is 0.95 (95% confidence intervals).

CIOptions_PL

Default options for the PL (Profile Likelihood) method.

  • epsilon: Numerical step size for profile likelihood adjustments. Default is NULL, which applies an adaptive step size.

  • confLevel: Confidence level for interval estimation. Default is 0.95 (95% confidence intervals).

  • maxIter: Maximum number of iterations for likelihood profiling. Default is 100.

CIOptions_Bootstrap

Default options for the bootstrap method.

  • nSamples: Number of bootstrap resampling iterations. Default is 1000.

  • confLevel: Confidence level for interval estimation. Default is 0.95 (95% confidence intervals).

  • seed: Random seed for reproducibility. Default is NULL.