kdeb {locfit} | R Documentation |
Bandwidth selectors for kernel density estimation.
Description
Function to compute kernel density estimate bandwidths, as used in the simulation results in Chapter 10 of Loader (1999).
This function is included for comparative purposes only. Plug-in selectors are based on flawed logic, make unreasonable and restrictive assumptions and do not use the full power of the estimates available in Locfit. Any relation between the results produced by this function and desirable estimates are entirely coincidental.
Usage
kdeb(x, h0 = 0.01 * sd, h1 = sd, meth = c("AIC", "LCV", "LSCV", "BCV",
"SJPI", "GKK"), kern = "gauss", gf = 2.5)
Arguments
x |
One dimensional data vector. |
h0 |
Lower limit for bandwidth selection. Can be fairly small, but h0=0 would cause problems. |
h1 |
Upper limit. |
meth |
Required selection method(s). |
kern |
Kernel. Most methods require |
gf |
Standard deviation for the gaussian kernel. Default 2.5, as Locfit's standard. Most papers use 1. |
Value
Vector of selected bandwidths.
References
Loader, C. (1999). Local Regression and Likelihood. Springer, New York.