Nonparametric BCa via regression (deprecated)

bcajack2() was deprecated in bcaboot 1.0 in favour of bca_nonpar().

Usage

bcajack2(
  x,
  B,
  func,
  ...,
  m = NULL,
  mr,
  pct = 0.333,
  K = 2,
  J = 12,
  alpha = c(0.025, 0.05, 0.1, 0.16),
  verbose = TRUE
)

x: An \(n \times p\) data matrix. Rows are observed \(p\)-vectors, assumed independently sampled. If \(p = 1\) then x can be a vector.
B: Number of bootstrap replications (integer).
func: Function computing the parameter of interest. func(x, ...) should return a scalar for any data matrix.
...: Additional arguments passed to func.
m: Number of groups (now n_groups).
mr: Unused (included for compatibility).
pct: KL fraction (now kl_fraction).
K: Jackknife repetitions (now n_jack).
J: Jackknife groups (now jack_groups).
alpha: Alpha levels (now use conf.level).
verbose: Logical; show progress bar during bootstrap.