Summarizing local polynomial fits
summary method for class “npregress”.
## S3 method for class 'npregress' summary(object, criteria="call", ...)
object |
Object of class |
criteria |
Character string which gives the criteria evaluated for the model. The criteria available are GCV (default, |
... |
Further arguments passed to or from other methods. |
The function summary.npregress computes and returns a list of summary
statistics of the local polynomial smoother given in object
Pierre-Andre Cornillon, Nicolas Hengartner and Eric Matzner-Lober.
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)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.