Create a configuration object for bias bound estimations

Usage

create_biasBound_config(
  X,
  Y = NULL,
  h = NULL,
  h_method = "cv",
  use_fft = TRUE,
  alpha = 0.05,
  resol = 100,
  xi_lb = NULL,
  xi_ub = NULL,
  methods_get_xi = "Schennach",
  kernel.fun = "Schennach2004",
  if_approx_kernel = TRUE,
  kernel.resol = 1000
)

Arguments

X: A numerical vector of sample data.
Y: Optional. A numerical vector of sample data for conditional expectation.
h: A scalar bandwidth parameter. If NULL, the bandwidth is automatically selected using the method specified in 'h_method'.
h_method: Method for automatic bandwidth selection when h is NULL. Options are "cv" (cross-validation) and "silverman" (Silverman's rule of thumb). Default is "cv".
use_fft: Ignored. Maintained for backward compatibility.
alpha: Confidence level for intervals.
resol: Resolution for the estimation range.
xi_lb: Lower bound for the interval of Fourier Transform frequency.
xi_ub: Upper bound for the interval of Fourier Transform frequency.
methods_get_xi: Method to determine xi interval.
kernel.fun: Kernel function to be used. Options include "normal", "epanechnikov", "Schennach2004", and "sinc".
if_approx_kernel: Use approximations for the kernel function.
kernel.resol: Resolution for kernel approximation.

Value

A configuration object (list) with all parameters