kernel_reg {rbbnp}

Kernel Regression function

Description

Kernel Regression function

Usage

kernel_reg(X, Y, x, h, kernel_func)

Arguments

X

A numerical vector representing the sample data of variable X.

Y

A numerical vector representing the sample data of variable Y.

x

The point at which the regression function is to be estimated.

h

A bandwidth parameter that determines the weight assigned to each observation in X.

kernel_func

A function that computes the weight of each observation based on its distance to x.

Value

Returns a scalar representing the estimated value of the regression function at the point x.