Bnk_func: Generate biquadratic kernel weights for a univariate variable

In QTOCen: Quantile-Optimal Treatment Regimes with Censored Data

Description

This is the biquadratic kernel function, that weights observations by their distances to the target observation.

Usage

Bnk_func(x0k, Xk, bw.bnk)

Arguments

x0k	Numeric scalar. One univariate covariate value of interest from one observation.
Xk	Numerical vector. The vector of the same covariate from observations
bw.bnk	The bandwith scalar parameter.

Value

This function returns a list of kernel weights with the same length of input Xk.

Note

This function is widely used for generating kernel weights for nonparametrically estimating conditional survival functions. See Section 2.3 of \insertCitewang2009locallyQTOCen.

References

\insertRef

wang2009locallyQTOCen

Examples

 
Bnk_func(x0k=0, Xk=c(-5:5), bw.bnk=10)

QTOCen documentation built on June 4, 2019, 5:03 p.m.