WBS2 wrapper — Wild Binary Segmentation 2

Wraps the breakfast package's WBS2 solution path with steepest-drop-to-low-levels (SDLL) model selection.

Usage

wbs2_wrapper(x, ...)

Arguments

x

A numeric vector.

...

Additional arguments passed to breakfast::breakfast().

Value

A ggcpt object.

References

Fryzlewicz P (2020). “Detecting Multiple Change-Point Features via Narrowest-Over-Threshold.” Journal of the Royal Statistical Society Series B, 82(5), 1377–1418.

See also

Other changepoint engines: bcp_wrapper(), beast_wrapper(), bfast_wrapper(), binsegrcpp_wrapper(), bocpd_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(), wbs_wrapper(), wbsts_wrapper()

Examples

set.seed(2026)
res <- wbs2_wrapper(c(rnorm(60), rnorm(60, 4)))
res$changepoints
#> # A tibble: 1 × 2
#>      cp cp_value
#>   <int>    <dbl>
#> 1    60   -0.999