Hi all,I would like to know how to predict a new y value and its confidence
interval for the prediction given a new observation x when using a linear(or
non-linear) quantile regression model.How it is possible to transform the
confidence prediction in to an interval prediction?
Is it correct to assume the same as in a lineal model prediction to transform
the confidence prediction into an interval prediction?Is there any code or
package to do this?
Here is a simple example.
require(quantreg)
x<-runif(10,0,5)
y<-0.3+ x*05 + rnorm(10, 0,3)
mod1<-lm(y~x)
# Values to get predictions
newval<-data.frame(x=c(3,7))
pred1<-predict(mod1, newval, interval = "prediction")# in lm is ok
mod2<- rq(y~x, tau=0.95)
pred2<-predict(mod2, newval, interval = "confidence")
Many Thanks in advanceAngel
[[alternative HTML version deleted]]
______________________________________________
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
