p_B = 1 - H_n(T_n) with H_n the bootstrap null cdf of the
studentized statistic (null resampling from x - xbar + mu0);
p_B1 is the fraction of outer resamples whose inner-prepivoted
statistic H*_b(T*_b) is at least H_n(T_n) (double prepivoting).
Usage
morie_btiseq(x, mu0 = 0, B_outer = 300, B_inner = 150, seed = 0)
Arguments
- x
Numeric sample.
- mu0
Null mean value.
- B_outer, B_inner
Bootstrap sizes.
- seed
SplitMix64 seed (mirrors the Python arm).
Value
A list with elements statistic, p_boot,
p_iterated, prepivoted_value, mu0,
B_outer, B_inner, seed, method.
References
Beran, R. (1988). Prepivoting test statistics: a
bootstrap view of asymptotic refinements. JASA, 83(403),
687-697.
Examples
# \donttest{
set.seed(1)
r <- morie_btiseq(x = rnorm(10)); TRUE
#> [1] TRUE
# }
