summary.jcp {jcp} | R Documentation |
summary.jcp
Description
Summary method for class 'jcp'
Usage
## S3 method for class 'jcp'
summary(object, ...)
Arguments
object |
object of class jcp |
... |
additional arguments |
Value
No return value, called for side effects
Author(s)
Michael Messer
References
Michael Messer (2021) Bivariate change point detection - joint detection of changes in expectation and variance, Scandinavian Journal of Statistics, DOI 10.1111/sjos.12547.
See Also
Examples
#' # Normal distributed sequence with 3 change points at
# c1=250 (change in expectation),
# c2=500 (change in variance) and
# c3=750 (change in expectation and variance)
set.seed(0)
m <- c(8,10,10,3); s <- c(4,4,10,5)
x <- rnorm(1000, mean=rep(m,each=250), sd=rep(s,each=250))
result <- jcp(x)
plot(result)
summary(result)
# Set additional parameters (window set)
result2 <- jcp(x,H=c(80,160,240))
plot(result2)
summary(result2)
[Package jcp version 1.2 Index]