ci_bca: Bias-Corrected and Accelerated Confidence Intervals
In jeksterslab/nBootstrap: Nonparametric Bootstrap

Description Usage Arguments Value Dependencies Author(s) See Also Examples

Bias-Corrected and Accelerated Confidence Intervals

1	ci_bca(x, jackknife, thetahat, alpha = c(0.05, 0.01, 0.001))

`x`	Matrix, data frame, or vector. Vector or matrix of estimates.
`jackknife`	Numeric matrix. jackknife estimates.
`thetahat`	Numeric vector. Vector of estimates from the original sample data.
`alpha`	Numeric vector. Significance level/s.

A matrix.

rmvn_chol() (test)

Ivan Jacob Agaloos Pesigan

Other Nonparametric Bootstrap Functions: ci_bca_helper(), ci_bc(), ci_pc(), func_jackknife(), func_thetahatstar_nb(), func_xstar_nb(), jackknife(), thetahatstar_nb(), xstar_nb()

x <- rnorm(n = 100)
func <- median
thetahat <- func(x)
thetahatstar <- thetahatstar_nb(x, func = func)
jackknife <- jackknife(x, func = func)

ci_bca(
  thetahatstar,
  jackknife = jackknife,
  thetahat = thetahat
)