ssdFit {fBasics} | R Documentation |
Fit density using smoothing splines
Description
Estimates the parameters of a density function using smoothing splines.
Usage
ssdFit(x)
Arguments
x |
a numeric vector. |
Value
for ssdFit
, an object of class ssden
. The returned
object can be used to evaluate density, probabilities and quantiles.
Author(s)
Diethelm Wuertz, Chong Gu for the underlying gss
package.
References
Gu, C. (2002), Smoothing Spline ANOVA Models, New York Springer–Verlag.
Gu, C. and Wang, J. (2003), Penalized likelihood density estimation: Direct cross-validation and scalable approximation, Statistica Sinica, 13, 811–826.
Examples
## ssdFit -
set.seed(1953)
r = rnorm(500)
hist(r, breaks = "FD", probability = TRUE,
col = "steelblue", border = "white")
## ssdFit -
param = ssdFit(r)
## dssd -
u = seq(min(r), max(r), len = 301)
v = dssd(u, param)
lines(u, v, col = "orange", lwd = 2)
[Package fBasics version 4032.96 Index]