Permutation test for an effect operator

Usage

# S3 method for class 'effect_operator'
perm_test(
  x,
  nperm = 999,
  scheme = c("reduced_model"),
  parallel = FALSE,
  alpha = 0.05,
  stepwise = TRUE,
  alternative = c("greater", "less", "two.sided"),
  ...
)

Arguments

x: An effect_operator.
nperm: Number of permutations.
scheme: Permutation scheme. Currently only "reduced_model" is supported.
parallel: Logical; if TRUE, use future.apply.
alpha: Sequential significance threshold used to determine selected rank.
stepwise: Logical; if TRUE, apply sequential rank testing by deflating previously selected effect directions before evaluating the next axis.
alternative: Alternative hypothesis for empirical p-values.
...: Reserved for future extensions.

Value

A permutation-test result object for effect operators.