summary.npregress: Summarizing local polynomial fits
Description
summary method for class “npregress”.
Usage
# S3 method for npregress
summary(object, criteria="call", ...)
Value
The function summary.npregress computes and returns a list of summary
statistics of the local polynomial smoother given in object
Arguments
object
Object of class npregress.
criteria
Character string which gives the criteria evaluated for the model. The criteria available are GCV (default, "gcv"),
AIC ("aic"), corrected AIC ("aicc"), BIC
("bic") or gMDL ("gmdl"). The string "call"
return the criterion used in the call of npregress.
...
Further arguments passed to or from other methods.
Author
Pierre-Andre Cornillon, Nicolas Hengartner and Eric Matzner-Lober.
References
Wand, M. P. and Jones, M. C. (1995). Kernel Smoothing. Chapman and Hall, London.
f <- function(x){sin(5*pi*x)}
n <- 100
x <- runif(n)
z <- f(x)
sigma2 <- 0.05*var(z)
erreur <- rnorm(n,0,sqrt(sigma2))
y <- z+erreur
res <- npregress(x,y,bandwidth=0.02)
summary(res)