| as.model | Convert, retrieve, or verify a model object |
| as.segmenter | Convert, retrieve, or verify a segmenter object |
| as_year | Convert a date into a year |
| binary2tau | Convert changepoint sets to binary strings |
| BMDL | Bayesian Maximum Descriptive Length |
| bogota_pm | Particulate matter in Bogotá, Colombia |
| build_gabin_population | Initialize populations in genetic algorithms |
| CET | Hadley Centre Central England Temperature |
| changepoints | Extract changepoints |
| compare_models | Compare various models or algorithms for a given changepoint... |
| cut_by_tau | Use a changepoint set to break a time series into regions |
| DataCPSim | Simulated time series data |
| deg_free | Retrieve the degrees of freedom from a 'logLik' object |
| diagnose | Diagnose the fit of a segmented time series |
| evaluate_cpts | Evaluate candidate changepoints sets |
| evolve_gbmdl | Generate a list of candidate changepoints using a genetic... |
| exceedances | Compute exceedances of a threshold for a time series |
| file_name | Obtain a descriptive filename for a tidycpt object |
| fit_lmshift | Regression-based model fitting |
| fit_meanshift | Fast implementation of meanshift model |
| fit_meanvar | Fit a model for mean and variance |
| fitness | Retrieve the optimal fitness (or objective function) value... |
| fit_nhpp | Fit a non-homogeneous Poisson process model to the... |
| fit_nhpp_region | Fit an NHPP model to one specific region |
| fun_cpt | Class for model-fitting functions |
| HQC | Hannan–Quinn information criterion |
| italy_grads | Italian University graduates by disciplinary groups from... |
| iweibull | Weibull distribution functions |
| log_likelihood_region_weibull | Log-Likelihood functions for regions (Weibull) |
| ls_pkgs | Algorithmic coverage through tidychangepoint |
| MBIC | Modified Bayesian Information Criterion |
| mcdf | Cumulative distribution of the exceedances of a time series |
| mde_rain | Rainfall in Medellín, Colombia |
| MDL | Maximum Descriptive Length |
| mlb_diffs | Differences between leagues in Major League Baseball |
| mod_cpt | Base class for changepoint models |
| model_args | Retrieve the arguments that a model-fitting function used |
| model_name | Retrieve the name of the model that a segmenter or model used |
| model_variance | Compute model variance |
| pad_tau | Pad and unpad changepoint sets with boundary points |
| plot_best_chromosome | Diagnostic plots for 'seg_basket' objects |
| plot_intensity | Plot the intensity of an NHPP fit |
| plot.tidyga | Plot GA information |
| reexports | Objects exported from other packages |
| regions | Extract the regions from a tidycpt object |
| seg_basket | Default class for candidate changepoint sets |
| seg_cpt | Base class for segmenters |
| segment | Segment a time series using a variety of algorithms |
| segment_coen | Algoritmo genético de Bayesian MDL a un paso |
| segment_ga | Segment a time series using a genetic algorithm |
| segment_manual | Manually segment a time series |
| segment_pelt | Segment a time series using the PELT algorithm |
| seg_params | Retrieve parameters from a segmenter |
| SIC | Schwarz information criterion |
| tau2time | Convert changepoint sets to time indices |
| tbl_coef | Format the coefficients from a linear model as a tibble |
| test_set | Simulate time series with known changepoint sets |
| tidychangepoint-package | tidychangepoint: A Tidy Framework for Changepoint Detection... |
| tidycpt-class | Container class for 'tidycpt' objects |
| vec_ptype2.logLik.logLik | Vectors implementation for logLik |
| whomademe | Recover the function that created a model |
