Permutation Confidence Intervals — perm

Estimate confidence intervals for model parameters using permutation testing.

Usage

perm_ci(x, X, nperm, ...)

# S3 method for class 'pca'
perm_ci(x, X, nperm = 100, k = 4, distr = "gamma", parallel = FALSE, ...)

x: A model fit object.
X: The original data matrix used to fit the model.
nperm: The number of permutations to perform for the confidence interval estimation.
...: Additional arguments to be passed to the specific model implementation of perm_ci.
k: Number of components to test (default 4).
distr: Distribution assumption (default "gamma"); currently ignored in forwarding.
parallel: Logical; if TRUE, use parallel processing.

A list containing the estimated lower and upper bounds of the confidence intervals for model parameters.