wbs-package {wbs} | R Documentation |
Wild Binary Segmentation for multiple change-point detection
Description
The package implements Wild Binary Segmentation, a technique for consistent estimation of the number and locations of multiple change-points in data. It also provides a fast implementation of the standard Binary Segmentation algorithm.
Details
The main routines of the package are wbs
, sbs
and changepoints
.
References
P. Fryzlewicz (2014), Wild Binary Segmentation for multiple change-point detection. Annals of Statistics, to appear. (http://stats.lse.ac.uk/fryzlewicz/wbs/wbs.pdf)
Examples
#an example in which standard Binary Segmentation fails to detect change points
x <- rnorm(300)+ c(rep(0,130),rep(-1,20),rep(1,20),rep(0,130))
s <- sbs(x)
w <- wbs(x)
s.cpt <- changepoints(s)
s.cpt
w.cpt <- changepoints(w)
w.cpt
# in this example, both algorithms work well
x <- rnorm(300) + c(rep(1,50),rep(0,250))
s <- sbs(x)
w <- wbs(x)
s.cpt <- changepoints(s)
s.cpt
w.cpt <- changepoints(w)
w.cpt
[Package wbs version 1.4 Index]