Spline Smoothed Distribution
Density, distribution function, quantile function and random generation from smoothing spline estimates.
dssd(x, param, log = FALSE) pssd(q, param) qssd(p, param) rssd(n, param)
param |
an object as returned by the function |
log |
a logical flag by default |
n |
number of observations. |
p |
a numeric vector of probabilities. |
x, q |
a numeric vector of quantiles. |
All values for the *ssd functions are numeric vectors:
d* returns the density,
p* returns the distribution function,
q* returns the quantile function, and
r* generates random deviates.
All values have attributes named "param" listing
the values of the distributional parameters.
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.