summary.eBsc {eBsc} | R Documentation |
eBsc Summary
Description
Takes an eBsc
object produced by eBsc
and summarizes the information of the errors.
Usage
## S3 method for class 'eBsc'
summary(object,...)
Arguments
object |
|
... |
further arguments to be passed to summary(). |
Value
The function gives basic statistics of the error from applying eBsc
.
Author(s)
Francisco Rosales, Paulo Serra, Tatyana Krivobokova
References
Serra, P. and Krivobokova, T. (2015)
Adaptive Empirical Bayesian Smoothing Splines
See Also
plot.eBsc
(package eBsc),
Examples
# simulated data
library(eBsc)
n <- 250
sigma <- 0.05
Basis <- list()
for(i in 1:6){Basis[[i]] <- drbasis(nn = n, qq = i)}
coef3 <- c(rep(0,3),(pi*(2:(n-2)))^(-3.1)) * (cos(2*(1:n)))
A3 <- Basis[[3]]$eigenvectors
mu <- - A3%*%coef3
mu <- (mu - min(mu))/(max(mu) - min(mu))
noise <- rnorm(n)
y <- mu + sigma * noise
# correlation matrix assumed known and equal to the identity
fit <- eBsc(y, method = "N", q=3)
summary(fit)
[Package eBsc version 4.17 Index]