create_biasBound_config {rbbnp} | R Documentation |
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
)
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