plot.eBsc: Plot fitted components

In eBsc: "Empirical Bayes Smoothing Splines with Correlated Errors"

Plot fitted components

Description

Plot fitted components and the acf of the errors.

Usage

## S3 method for class 'eBsc'
plot(x,full=FALSE,...)

Arguments

x	eBsc object.
full	plot option. If TRUE graphial details of the estimation are provided. If FALSE a simple plot of the estimation and its confidence bands is provided.
...	further arguments to be passed to plot().

Details

if the eBsc plots the fits and the acf of the errors.

Value

The function returns the selected plots.

Author(s)

Francisco Rosales, Paulo Serra, Tatyana Krivobokova.

References

Serra, P. and Krivobokova, T. (2015)
Adaptive Empirical Bayesian Smoothing Splines

Examples

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

#q assumed known and equal to 3, and correlation unknown
fit <- eBsc(y, method = "N", q=3)

#simple plot by  
plot(fit, full = FALSE)

eBsc documentation built on May 31, 2023, 5:40 p.m.