swh:1:snp:37d50dd51f293f75d7c946de708f62a07deb052f
Tip revision: e155e99c536764b871763912d327e93a4a912a23 authored by Roger Koenker on 18 April 2017, 05:41:23 UTC
version 5.33
version 5.33
Tip revision: e155e99
lprq.R
lprq <- function(x, y, h, tau = .5, m = 50)
{
## A toy routine to do locally polynomial quantile regression
xx <- seq(min(x),max(x),length=m)
fv <- xx
dv <- xx
for(i in 1:length(xx)) {
z <- x - xx[i]
wx <- dnorm(z/h)
r <- rq(y~z, weights=wx, tau=tau, ci=FALSE)
fv[i] <- r$coef[1.]
dv[i] <- r$coef[2.]
}
list(xx = xx, fv = fv, dv = dv)
}