adaptive_permdr: Quick adaptive permutation test
In floatofmath/adaperm: Permutation tests for adaptive designs

Description Usage Arguments Value Author(s)

Quick no-nonsens adaptive permutation decision rule

adaptive_permdr(x1, x2, xE, g1, g2, gE, test_statistic, alpha, permutations,
  restricted, stratified, atest_type = c("non-randomized", "mid-p",
  "davison_hinkley", "CER"), cer_type = c("non-randomized", "randomized",
  "uniform"))

`x1`	first stage observations
`x2`	second stage observations
`xE`	extended stage observations
`g1`	frist stage treatment assignments
`g2`	second stage treatment assignments
`gE`	extended stage treatment assignments
`test_statistic`	test statistic to use
`alpha`	significance level
`permutations`	number of permutations to use
`restricted`	should the treatment group sizes be fixed
`stratified`	should permutation be stratified by stage
`atest_type`	if 'CER' compute only conditional error rate, else type of adaptive test should be performed (see `perm_test` for details)
`cer_type`	what type of conditional error rate function should be used (see `permutation_cer`) for details