rbbnp (version 0.3.0)

create_biasBound_config: Create a configuration object for bias bound estimations

Description

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
)

Value

A configuration object (list) with all parameters

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.