alarms                  The alarm log of a monitor
annotate_segments       Annotate segments with alternating shading
as_cpt_labels           Coerce annotations to changepoint labels
as_cpt_series           Coerce a time series object to values plus a
                        time index
as_ggcpt                Turn external changepoints into a ggcpt result
augment.ggcpt           Augment a ggcpt object
autoplot.ggcpt          Autoplot a ggcpt object
bcp_wrapper             Bayesian changepoint wrapper (Barry-Hartigan
                        product partition model)
beast_wrapper           BEAST wrapper: Bayesian estimation of abrupt
                        change, seasonality, and trend
bfast_wrapper           BFAST wrapper: breaks for additive season and
                        trend
binsegrcpp_wrapper      Fast binary segmentation across loss functions
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_annotate_events     Match detected changepoints to known events
cpt_annotations         Per-annotator ground truth for a benchmark
                        dataset
cpt_batch               Batch changepoint detection over many series
cpt_benchmark           Benchmark detectors across datasets
cpt_cite                Cite the method behind a result
cpt_confint             Confidence intervals for changepoint locations
cpt_consensus           Consensus changepoints across several detectors
cpt_crops               CROPS: the full penalty path of a penalised
                        changepoint method
cpt_datasets            A catalogue of benchmark datasets
cpt_delay               Detection delay and false-alarm rate
cpt_detect              Unified changepoint detection dispatcher
cpt_gt                  A publication-ready changepoint table
cpt_influence           Influence diagnostics for a changepoint
                        segmentation
cpt_install_engines     Install the engines behind a family of methods
cpt_label_error         Score a segmentation against labels
cpt_label_error_curve   Label error as a function of the penalty
cpt_labels              Changepoint labels
cpt_learn_penalty       Learn a penalty from labelled series
cpt_leverage            Rank observations by influence
cpt_load_tcpd           Download and cache the Turing Change Point
                        Dataset
cpt_methods             Introspect available changepoint detection
                        methods
cpt_metrics             Changepoint accuracy metrics
cpt_metrics_annotated   Multi-annotator evaluation
cpt_min_detectable      The smallest detectable change
cpt_monitor             A stateful sequential changepoint monitor
cpt_penalty             Construct changepoint penalties
cpt_power               Detection power for a changepoint scenario
cpt_recommend           Recommend a detection method
cpt_regions             Tidy the significance regions of a ggcpt object
cpt_register_method     Register an external changepoint detector
cpt_replay              Replay a series through a sequential detector
cpt_report              A reproducible report of a changepoint analysis
cpt_scale_space         Scale space: the statistic across bandwidths
cpt_scenarios           A grid of simulation scenarios
cpt_select              Choose the number of changepoints
cpt_sensitivity         Sensitivity of a segmentation to its tuning
                        parameters
cpt_simulate            Generate simulated changepoint data
cpt_solution_path       The solution path of a search-based detector
cpt_stability           Changepoint stability diagnostics via bootstrap
cpt_statistic           The detector's statistic as a function of
                        location
cpt_test                Test detected changepoints
cpt_update              Feed observations to a monitor
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
esac_wrapper            ESAC wrapper: sparsity-adaptive
                        high-dimensional detection
fabisearch_wrapper      Network-structure changepoints via non-negative
                        matrix factorisation
fastcpd_wrapper         fastcpd wrapper: fast changepoint detection via
                        sequential gradient descent
fcov_wrapper            Functional covariance changepoints
fmean_wrapper           Functional mean changepoints
fpop_wrapper            FPOP wrapper: Functional Pruning Optimal
                        Partitioning
geom_changepoint        Changepoint vertical rules geom
geom_cpt_ci             Changepoint confidence interval geom
geom_cpt_event          Event annotation geom
geom_cpt_label          Changepoint label geom
geom_cpt_region         Significance region geom
geom_cpt_segment        Changepoint segment level geom
geomcp_wrapper          Geometrically-inspired multivariate changepoint
                        wrapper (geomcp)
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_plot_methods      Base plot() methods for ggchangepoint result
                        objects
ggcpt_posterior         Posterior probability plot for Bayesian results
ggcpt_runlength         Run-length posterior heatmap for Bayesian
                        online results
ggcptplot               Plot for the changepoint package
ggecpplot               Plot for the ecp package
glance.ggcpt            Glance at a ggcpt object
hdcov_wrapper           High-dimensional covariance changepoints
hdreg_wrapper           High-dimensional regression changepoints
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)
kwc_wrapper             Robust depth-based changepoints for functional
                        and multivariate data
mcp_wrapper             Bayesian formula-based changepoint regression
                        (mcp)
mosum_wrapper           MOSUM wrapper: Moving Sum
network_wrapper         Dynamic-network changepoints
new_ggcpt               Create a ggcpt object
not_wrapper             NOT wrapper: Narrowest-Over-Threshold
npmojo_wrapper          Nonparametric MOSUM wrapper (NP-MOJO)
nsp_wrapper             NSP wrapper: Narrowest Significance Pursuit
ocd_wrapper             ocd wrapper: online high-dimensional
                        changepoint detection
pilliat_wrapper         Pilliat wrapper: high-dimensional detection by
                        three complementary tests
print.ggcpt             Print a ggcpt object
scale_colour_cpt        Colour-vision-safe scales for changepoint
                        methods
scale_fill_cpt_label    Colour scales for changepoint labels and label
                        errors
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
taylor_wrapper          Taylor's change point analyzer
tguh_wrapper            TGUH wrapper
theme_ggcpt             ggchangepoint theme
tidy.ggcpt              Tidy a ggcpt object
trend_wrapper           Classical single-changepoint tests (Pettitt,
                        Buishand, SNHT)
var_wrapper             VAR(1) changepoints
wbs2_wrapper            WBS2 wrapper: Wild Binary Segmentation 2
wbs_wrapper             WBS wrapper: Wild Binary Segmentation
wbsts_wrapper           WBS for nonstationary time series
