ci_bca_helper: Bias-Corrected and Accelerated Confidence Interval Helper...

In jeksterslab/nBootstrap: Nonparametric Bootstrap

Description

Bias-Corrected and Accelerated Confidence Interval Helper Function

Usage

ci_bca_helper(x, jackknife = NULL, thetahat, alpha = c(0.05, 0.01, 0.001))

Arguments

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.

Value

A list.

Dependencies

• rmvn_chol() (test)

Author(s)

Ivan Jacob Agaloos Pesigan

See Also

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

Examples

x <- rnorm(n = 100)
func <- median
thetahat <- func(x)
thetahatstar <- thetahatstar_nb(
  x,
  func = func,
  bcap = 5L
)
jackknife <- jackknife(x, func = func)

ci_bca_helper(
  thetahatstar,
  jackknife = jackknife,
  thetahat = thetahat
)

jeksterslab/nBootstrap documentation built on Dec. 20, 2021, 10:11 p.m.