Fit Density Using Smoothing Splines
Estimates the parameters of a density function using smoothing splines.
ssdFit(x)
x |
a numeric vector. |
The function ssdFit, hypFit returns an object of class
ssden.
The returned object can be used to evaluate density, probabilities
and quantiles.
Diethelm Wuertz, Chong Gu for the underlying gss package.
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.
## 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)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.