kernel.g.density: Gaussian kernel density estimation

In OVL.CI: Inference on the Overlap Coefficient: The Binormal Approach and Alternatives

Gaussian kernel density estimation

Description

Estimates the density function using the Gaussian kernel

Usage

kernel.g.density(data, points, h)

Arguments

data	vector of observations
points	in which the function is evaluated
h	bandwidth

Value

density estimation

Examples

x = rnorm(100,1,2)
gridd = seq(-5,5,length.out=1000)
h = (4/3)^(1/5)*sd(x)*length(x)^(-1/5)
kernel.g.density (x,gridd,h)

OVL.CI documentation built on Nov. 14, 2023, 1:06 a.m.