| annotate_segments | Annotate segments with alternating shading |
| as.data.frame.ggcpt | Coerce, format, and plot ggcpt objects |
| as_tibble.ggcpt | Coerce, format, and plot ggcpt objects |
| augment.ggcpt | Augment a ggcpt object |
| autoplot.ggcpt | Autoplot a ggcpt object |
| autoplot.ggcpt_batch | Batch changepoint detection over many series |
| autoplot.ggcpt_path | CROPS — the full penalty path of a penalised changepoint method |
| autoplot.ggcpt_stability | Changepoint stability diagnostics via bootstrap |
| bcp_wrapper | Bayesian changepoint wrapper (Barry-Hartigan product partition model) |
| beast_wrapper | BEAST wrapper — Bayesian estimation of abrupt change, seasonality, and trend |
| bocpd_wrapper | Bayesian online changepoint detection wrapper (BOCPD) |
| cpm_wrapper | Sequential change point model wrapper (CPM) |
| cpop_wrapper | CPOP wrapper — optimal change-in-slope detection |
| cpt_batch | Batch changepoint detection over many series |
| cpt_cite | Cite the method behind a result |
| cpt_crops | CROPS — the full penalty path of a penalised changepoint method |
| cpt_detect | Unified changepoint detection dispatcher |
| cpt_methods | Introspect available changepoint detection methods |
| cpt_metrics | Changepoint accuracy metrics |
| cpt_metrics_annotated | Multi-annotator evaluation |
| cpt_penalty | Construct changepoint penalties |
| cpt_simulate | Generate simulated changepoint data |
| cpt_stability | Changepoint stability diagnostics via bootstrap |
| cpt_wrapper | Changepoint wrapper |
| decafs_wrapper | DeCAFS wrapper — changes amid drift and autocorrelated noise |
| ecp_wrapper | ecp wrapper |
| envcpt_wrapper | EnvCpt wrapper — changepoints versus trends versus autocorrelation |
| fastcpd_wrapper | fastcpd wrapper — fast changepoint detection via sequential gradient descent |
| format.ggcpt | Coerce, format, and plot ggcpt objects |
| fpop_wrapper | FPOP wrapper — Functional Pruning Optimal Partitioning |
| geomcp_wrapper | Geometrically-inspired multivariate changepoint wrapper (geomcp) |
| geom_changepoint | Changepoint vertical rules geom |
| geom_cpt_ci | Changepoint confidence interval geom |
| geom_cpt_segment | Changepoint segment level geom |
| ggcptplot | Plot for the changepoint package |
| ggcpt_compare | Compare multiple changepoint detection methods |
| ggcpt_compare_table | Comparison table |
| ggcpt_eval | Evaluation visualization |
| ggcpt_interactive | Interactive changepoint plot |
| ggcpt_methods | Coerce, format, and plot ggcpt objects |
| ggcpt_posterior | Posterior probability plot for Bayesian results |
| ggcpt_runlength | Run-length posterior heatmap for Bayesian online results |
| ggecpplot | Plot for the ecp package |
| glance.ggcpt | Glance at a ggcpt object |
| idetect_wrapper | Isolate-Detect wrapper |
| inspect_wrapper | inspect wrapper — high-dimensional changepoints via sparse projection |
| is_ggcpt | Test if an object is a ggcpt object |
| kcp_wrapper | Kernel changepoint wrapper (KCP on running statistics) |
| mosum_wrapper | MOSUM wrapper — Moving Sum |
| new_ggcpt | Create a ggcpt object |
| not_wrapper | NOT wrapper — Narrowest-Over-Threshold |
| npmojo_wrapper | Nonparametric MOSUM wrapper (NP-MOJO) |
| ocd_wrapper | ocd wrapper — online high-dimensional changepoint detection |
| plot.ggcpt | Coerce, format, and plot ggcpt objects |
| print.ggcpt | Print a ggcpt object |
| print.ggcpt_batch | Batch changepoint detection over many series |
| print.ggcpt_path | CROPS — the full penalty path of a penalised changepoint method |
| print.ggcpt_stability | Changepoint stability diagnostics via bootstrap |
| print.summary.ggcpt | Summary of a ggcpt object |
| rcpt | Generate simulated changepoint data |
| segmented_wrapper | Broken-line regression wrapper (segmented) |
| signal_blocks | Blocks test signal |
| signal_fms | FMS (Four-Metric-Segments) test signal |
| signal_mix | Mix test signal |
| signal_stairs | Stairs test signal |
| signal_teeth | Teeth test signal |
| smuce_wrapper | SMUCE / HSMUCE wrapper — multiscale changepoint inference |
| sn_wrapper | Self-normalisation wrapper (SNSeg) |
| stat_changepoint | Changepoint detection stat |
| strucchange_wrapper | Bai-Perron structural break wrapper (strucchange) |
| summary.ggcpt | Summary of a ggcpt object |
| tguh_wrapper | TGUH wrapper |
| theme_ggcpt | ggchangepoint theme |
| tidy.ggcpt | Tidy a ggcpt object |
| tidy.ggcpt_batch | Batch changepoint detection over many series |
| tidy.ggcpt_path | CROPS — the full penalty path of a penalised changepoint method |
| wbs2_wrapper | WBS2 wrapper — Wild Binary Segmentation 2 |
| wbs_wrapper | WBS wrapper — Wild Binary Segmentation |