Function reference • tidychangepoint

All functions

BMDL(): Bayesian Maximum Descriptive Length

CET: Hadley Centre Central England Temperature

DataCPSim rlnorm_ts_1 rlnorm_ts_2 rlnorm_ts_3: Simulated time series data

MBIC(): Modified Bayesian Information Criterion

MDL(): Maximum Descriptive Length

as.segmenter() as.seg_cpt() as.model() is_model() is_segmenter(): Convert a segmenter to a model object

bogota_pm: Particulate matter in Bogotá, Colombia

build_gabin_population() log_gabin_population(): Initialize populations in genetic algorithms

changepoints() seg_params(): Extract changepoints

new_mod_cpt() validate_mod_cpt() mod_cpt(): Base class for changepoint models

compare_models() compare_algorithms(): Compare various models for a give changepoint set

as.seg_cpt(<cpt>) as.ts(<cpt>) logLik(<cpt>) nobs(<cpt>) seg_params(<cpt>): Compatibility layer for changepoint

diagnose(): Diagnose the fit of a segmented time series

exceedances(): Compute exceedances of a threshold for a time series

file_name(): Obtain a descriptive filename for a tidycpt object

fit_lmshift() fit_lmshift_ar1() fit_trendshift() fit_trendshift_ar1(): Regression-based model fitting

fit_meanshift() fit_meanshift2() fit_meanshift_norm() fit_meanshift_lnorm() logLik(<meanshift_lnorm>) fit_meanshift_norm_ar1(): Fast implementation of meanshift model

fit_meanvar(): Fit a model for mean and variance

fit_nhpp_region() fit_nhpp() logLik(<nhpp>) glance(<nhpp>) mcdf() diagnose(<nhpp>) plot_intensity(): Fit a non-homogeneous Poisson process model to the exceedances of a time series.

fitness(): Retrieve the optimal fitness (or objective function) value used by an algorithm

as.seg_cpt(<ga>) as.ts(<ga>) nobs(<ga>) seg_params(<ga>): Compatibility layer for GA

imusaokomoto() mmusaokomoto() log_likelihood_region_musaokomoto() log_prior_region_musaokomoto() D_log_prior_region_musaokomoto() D_log_likelihood_region_musaokomoto(): Evaluanción de rate function (la derivada de la mean)

iweibull() mweibull() parameters_weibull() log_likelihood_region_weibull() log_prior_region_weibull() D_log_prior_region_weibull() D_log_likelihood_region_weibull(): Weibull distribution functions

mde_rain mde_rain_monthly: Rainfall in Medellín, Colombia

mlb_hrs: Differences between leagues in Major League Baseball

as.ts(<mod_cpt>) nobs(<mod_cpt>) logLik(<mod_cpt>) fitted(<mod_cpt>) residuals(<mod_cpt>) model_variance() coef(<mod_cpt>) augment(<mod_cpt>) tidy(<mod_cpt>) glance(<mod_cpt>) plot(<mod_cpt>) print(<mod_cpt>): Methods for mod_cpt objects

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

new_fun_cpt() validate_fun_cpt() fun_cpt() whomademe(): Class for model-fitting functions

new_seg_basket() validate_seg_basket() seg_basket() evaluate_cpts(): Default class for candidate changepoint sets

new_seg_cpt() validate_seg_cpt() seg_cpt(): Base class for segmenters

pad_tau() unpad_tau() is_valid_tau() validate_tau() binary2tau() tau2binary() tau2time() time2tau() cut_inclusive() split_by_tau() regions_by_tau() deg_free() as_year(): Utility functions

plot(<tidyga>): Plot GA information

as.seg_cpt(<seg_basket>) as.ts(<seg_basket>) best_cpt() plot(<seg_basket>) plot_best_chromosome() plot_cpt_repeated(): Methods for seg_basket objects

as.seg_cpt(<seg_cpt>) as.ts(<seg_cpt>) glance(<seg_cpt>) nobs(<seg_cpt>) print(<seg_cpt>) seg_params(<seg_cpt>): Methods for seg_cpt objects

segment(): Segment a time series using a variety of algorithms

segment_ga() segment_ga_shi() segment_ga_coen() segment_ga_random(): 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

tbl_coef(): Format the coefficients from a linear model as a tibble

test_set(): Simulate time series with known changepoint sets

as.ts(<tidycpt>) augment(<tidycpt>) tidy(<tidycpt>) glance(<tidycpt>) plot(<tidycpt>) print(<tidycpt>): Generic functions for tidycpt objects

as.seg_cpt(<wbs>) as.ts(<wbs>) nobs(<wbs>) seg_params(<wbs>): Compatibility layer for wbs