wbs_wrapper: WBS wrapper: Wild Binary Segmentation

In ggchangepoint: Combines Changepoint Analysis with 'ggplot2'

WBS wrapper: Wild Binary Segmentation

Description

Wraps the wbs package for randomised changepoint detection via Wild Binary Segmentation.

Usage

wbs_wrapper(x, n_intervals = 5000, threshold = NULL, seed = NULL, ...)

Arguments

x	A numeric vector.
n_intervals	Number of random intervals. Defaults to 5000.
threshold	Manual threshold for detection. If NULL, model selection uses the strengthened Schwarz Information Criterion (sSIC).
seed	Optional seed for reproducibility. The seed is scoped to this call: .Random.seed is saved and restored, so a seeded call inside a simulation loop does not pin the loop's own stream.
...	Additional arguments passed to wbs::wbs().

Value

A ggcpt object.

References

\insertRef

fryzlewicz2014wildggchangepoint

See Also

Other changepoint engines: bcp_wrapper(), beast_wrapper(), bfast_wrapper(), binsegrcpp_wrapper(), bocpd_wrapper(), capa_wrapper(), cpm_wrapper(), cpop_wrapper(), cpt_wrapper(), decafs_wrapper(), ecp_wrapper(), envcpt_wrapper(), esac_wrapper(), fabisearch_wrapper(), fastcpd_wrapper(), fcov_wrapper(), fmean_wrapper(), fpop_wrapper(), geomcp_wrapper(), hdcov_wrapper(), hdreg_wrapper(), idetect_wrapper(), inspect_wrapper(), kcp_wrapper(), kwc_wrapper(), mcp_wrapper(), mosum_wrapper(), network_wrapper(), not_wrapper(), npmojo_wrapper(), nsp_wrapper(), ocd_wrapper(), pilliat_wrapper(), segmented_wrapper(), smuce_wrapper(), sn_wrapper(), strucchange_wrapper(), taylor_wrapper(), tguh_wrapper(), trend_wrapper(), var_wrapper(), wbs2_wrapper(), wbsts_wrapper()

Examples

set.seed(2026)
res <- wbs_wrapper(c(rnorm(60), rnorm(60, 4)), n_intervals = 200)
res$changepoints
res$penalty$type   # sSIC selection, because `threshold` was not supplied

ggchangepoint documentation built on Nov. 5, 2026, 9:06 a.m.