OVL.KPB {OVL.CI} | R Documentation |
OVL.KPB
Description
Kernel approach using a bootstrap percentile approach
Usage
OVL.KPB(x, y, alpha = 0.05, B = 100, k = 1, h = 1)
Arguments
x |
controls |
y |
cases |
alpha |
confidence level |
B |
bootstrap size |
k |
kernel. When k=1 (default value) the kernel used in the estimation is the Gaussian kernel. Otherwise, the Epanechnikov kernel is used instead. |
h |
bandwidth. When h=1 (default value) the cross-validation bandwidth is chosen. Otherwise, the bandwidth considered by Schmid and Schmidt (2006) is used instead. |
Value
confidence interval
Examples
controls = rnorm(50,6,1)
cases = rnorm(100,6.5,0.5)
OVL.KPB (controls,cases)
[Package OVL.CI version 0.1.0 Index]